diff --git a/docs/cassettes/semantic-search_11.msgpack.zlib b/docs/cassettes/semantic-search_11.msgpack.zlib new file mode 100644 index 000000000..efa7dbf7d --- /dev/null +++ b/docs/cassettes/semantic-search_11.msgpack.zlib @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/semantic-search_13.msgpack.zlib b/docs/cassettes/semantic-search_13.msgpack.zlib new file mode 100644 index 000000000..c02706da9 --- /dev/null +++ b/docs/cassettes/semantic-search_13.msgpack.zlib @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/semantic-search_15.msgpack.zlib b/docs/cassettes/semantic-search_15.msgpack.zlib new file mode 100644 index 000000000..c453ed674 --- /dev/null +++ b/docs/cassettes/semantic-search_15.msgpack.zlib @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/docs/cassettes/semantic-search_17.msgpack.zlib b/docs/cassettes/semantic-search_17.msgpack.zlib new file mode 100644 index 000000000..f0c9ab212 --- /dev/null +++ b/docs/cassettes/semantic-search_17.msgpack.zlib @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git a/docs/cassettes/semantic-search_6.msgpack.zlib b/docs/cassettes/semantic-search_6.msgpack.zlib new file mode 100644 index 000000000..cf7210983 --- /dev/null +++ b/docs/cassettes/semantic-search_6.msgpack.zlib @@ -0,0 +1 @@ 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CTPRJEG9oNug/udwsctjqUa93hgVzhQqPpPu0+R8a8WqgK0qlpGoVf7lieVJmMpId+OYx1X5yiKAvXowV+KMWqfaHa+eWlOT5Duku0qZKbRfK2tX79Hzh1m+1MTbLx5AKD6CH837Ay4Du5V0VpyzYNdSWoHSp1Mk3+VU6W30oZaYKmdKO/Ys2QJb+LiUThv+DkuwIXQ7CxI9Fh2x8Slm4YN7M77g6TvX0GX5qgl8PQhLEOzjsUd8K7sdLRlgSO6hXpHgfF2BZaVOkhTVNNRvmgeCFSHVwOg+aln2y9HDPr3WRhuevsrwbQGrbYnulJa2JiX4bJj2GKk0RBuOLcwDy7o+nsboKe3SLC1bxeXStuE1mP9u+36L7nwl2S0TWz2jBZN/q9H23EtJDQokt9Xh/npWpxWRLylFri1ljym6g28TLZ0lU/gWJi7Q5HJdLW0Fr7+GEe7FCaFyl2lLGufHI3Z2EGxCvByJPr4/QzxKkRCzjlMRs223ZHmFfHDkem3Mzo+fMfWmyHmmAGGn6kN6syDpS+bCO5xn1Ff3BKvXw5wEnKs7oYM9hq5/XXk+zD4NF6pqdYAagzDDMEdOzUnJSse60wPP2lRRj2W6fqUOwQiipRp/enNk0VQpSyU17M2egwetmiXXYfPj0Ap+JuAktDlsyFXCRyiF8RA6Dv1Kwk2hmGhO5qA+X0X5cIxvq4Lrdef0W+TaVUturYZfJNYKFF2lCuluqcF/nEn3jpYWuqhKgROzY1LPojjuh3mROmOszp/fgK9QeYG7tfbELvoYQKyu7Dcuh6dRLhHSFO9JClLiKnb0UTmNxfkkwnePCDl4q50vVI8xL1gMl/d+mhm23wNeuYakYSfoi6Bur+QXj4hkJ6F1Fx9s0hPSTJQPRYWsVigb3TakPW/5THEA3Zsr9JTHpq6Ru+PaMtu5JNlbu3ZrM3m1Gt+tjAn1c+yUUFc7EuO+IbPlawcRxUwlZaoB9mbv3MF0HFI5aBeLexUgjWF5zaKpI1vtCPSKvNUNsNGcNTpKVYxGQrfQuowU/YmN1ts+RiE3/9wGHMq+7ONaw6s7uDWVNs/D9F1QCd0j00A4yGwH3I8v7TKGxmiIRbTx9Vdbx90+ZUqArlksJP/1bifp5iFmbY0DFOu9Okd0QojPdcchBP4fTXOW0TrrRgmwi+1wx6dQuBflXRR/cKqOrb0oU+HhXJhXdVOLjl5dE46y13UJPZuwm8Yqkux1qnZYPpQyzcji+g/EqTh5UAH1pBOEevXTKoKvQprQghBpDgKFgdOmM7fy2gI3CEs6WS+PBnN7HUGHP++O8r6lADxq8xGA/D5wKs1PNNARZt2mNp+QKuVqRAZTMngAeccjLk4se1o0eX0ZQ7pYU1W/BpPSVDYbkox+TEJGCSjPJzyJcwooXfQll8GGFE/iMtEqsg2kdZDHEqypSwO+ujN/ckCVSC4F6DweVwnyM0yfrB3b90ndOHt7aYrl9XfMmHYpLRHXoT53cZ3OdqN02Qmtnu1NxV8X666fs1zwHvt0QlsiitJae27VdY+VJD6PryZTQ255rdPG+W3yNwiRkyyCjnxKVYGzB+o3AgU+4rPsjvcO1rwAD4YQmKjbNXDYpLdOzLt/4Y0az33tN5tKgzWRt/yLSiS39kJOW+rTjt+KCxKN/cecOUqR8f+9wbolVHKjL4hho9jppXNBWSTgsHCXqslngeJf7rq62B3atDQsoMIeztuUSQdYXzjvBMTgPUJQ+ituOHjvf3QJ88uCExvUunRerqivuq6d/okFt4A0mYdKXxqCz5/tYesTp9GrkApt2fv/ediyFxtNunTNP6Un+g8/lBYLwsG83ovK+EDIedghr4PB4Favew32BYgC+eM+71sMLS6mQ6TIM7CtgbniWBSkuQodo3eeoPHgWUycs30pfpSeu8txf7p2jiVllSTXoXCq4dWIOZ3ytdfWiHjoTFzFMYGSny/PbExLQAt1MgDpVI6NCs/KSi1ufz4pDcUDP3evo8Q0iv4Wxis8sBBocmhc16cviEbMPDCa/g3fRreaLpWOxCrx5M5cz1jGPxoNPslNxYnc6mlTiz0FQLckXBe7OLm8Ju4e2OiBfVdxsve99Ev3ypdw9sMEJ4REBrLHiTsgvjYvleu78DkuP5LbGROvfw1GE2X9Nr8WUdUWj6KkJ+qK9VdMyZ0NMh0fMTXPZsvUmC5uxGll95+sdncUIrHnfd3P+TLip6vSV+7SghMdnx945Cthw1+PhLntfAxYw+fPWneKes/H9WyKKbSGf4CPQiY4Qbyu+L4HAyr0mlWtf8C2ykWkg+gAgN8fVZMvrXKQ+uS60YEvzyyLBzTiTI59GS5ofox3OOPXHvhxJZMzfQvNBu1o0FV2feKjcfTvbE5sbrrDUrUJOEShOIgJK7kX8oRpKFpaP40P6F2Pecyw+4yuERNi+L5ACWz6EytUlSjHpE/oQO5Mlb7xFMHJqIqi9tbRokYl/sQYmthkNesr1ZC1+L5uHfRvq4Dshp+Pymn0hVsqzxWOBoqPP59qRRjUMD0m2ShrxOuvVUdwuw8hWXglhbXiuMDpZ7Wk7y/WOR3L3+thQ0U7dwltGlJnmTNgQ35VQ607y0udJse5NlFOKWaaAL0i5Rh3br55Ygrkxu8ftXfGpwhnRMq99uF7FjaSv0QYsAOdG9T0SO7qgK4jfeYUk0H6OYPdzJxOYi02PJrFQCbbgcPI/fPVyN4oqfoNkPo6nH04ZF3pz8sPnlU/Xk4X3pZ3NgO203MXiUxjD3jc/hBMAzTTVYo/WsIuLb14MW1Wz6avyo77q5WIXqyCdiLtE3AaBr+oBheXNty7mG0of0UxT3YV2JZ9O4Msm3+wTb49diba/iwyo9lzHOM9nQP21E2FqqEjv0qIa53HCICzkHMYF/3af+qHkhAhvB4z3hfDWf85XMhNfHB+/BT5r6V2up12wTrOXJI1A5ZxvVsPi5IxKzTtanQBAuId5S3jaaMaEsGFL88UIre0b3KqviUI1kxzls1/gK2t/d6f6oRNMuotUr0gU8S3V5YKwXM77I5o2nYiKhh87kibG8W4T5mrQi1IPfLotkEjgpfRR9u7yeXmvUmnGb8rWkReecgRv1lANo/fJ9i+URis+t3DA1eShWW7U/SZyAdsco+CwXNAfalQwpLrUxpWiFv1CHVWM+yybTvgFGKVQaWRXsAdKHjgbk0py7pu8FucpVw+M2ERrc7frMt664e3q2df1SaCNDluvwV9uYAGRupHN4V/6eOpseQ3qyfwWWdZlxY9StUOiRVt7Oejo8pr+TY3rC2c+7/SXV17OD+6bCLjoDye+KQdqJmcmSgy1mo6vdl57jv8+f3eCO7Sm9tB0uk80/9PmKKRDWULO4wXyIaOm5/00Yb1dt99jn60F3SXQaIT/xPM2hlJtUeQAtdbbc8y915QpSdOJz906j7yeQyH5gcHIXRZdtfZeIdpNrS7MloCwVTvW73NtxZudHmGhk5uy2zYPzrsu48y1PvYy/+UJyFtBuWHoRdISBlRTcWlguj2WeHnpipngq8C2zNbxXs95ZwouuftSXMKhCFWDmIr463095U3MMbtS1gjZI5GH4O/CN9dZY0GtEGKh+6qXde1gN430EQ9mfDICw4dS/bEFDPi9Qsr0V3dWUfealNMSXapPKypkzcIraync005t+qipNJptjyI0VpcCIwGZWaSPhxtOgm5oi2T3zk07yUMzjeW8aDFz/pnd6PJWp4hhiEFX+OZwgNdGF9ULokeQvWutmAKF5+9tHbGKH4VvqauN+8jvnfP0B20JH64ZNG6lvgDYLBPSO2lQpzyJJtQ8altJzmyihSinhbTvEltkQ3CtfbwMD1gIb8eDbDHm2vnu7ndc7NU9NVvNnwRXEFegD+75V69jCsKV9sayX8zVhiHWK+YpywbgxO9hbNkEbPBPmBWJf+tKwJnPpjuCoXpgft9Kpl2eKtW6sKdvSvPxP1W/yhKmPBYkh5G/JcQ2OCoIvb0XspZ5P3gZrjcWQYDOgopYdgpXQJckO3Avt2lwG/xCvidlnoCuVNC461rmfZJOW23NRT9r2nTgW/gOzkPtdEqs1EXyxV9fhgrTqNedhKRd1C6NgSBE1UOcDksvsbRx5S9e95UHh7/lYszZ27j0m0nKy1K/Ql7CR0QTDGgVmPSXjbnA9Upk3YnNSnIIZBlv1Sv7n5hm1jPzpIIDMWEZu/VPilqrOAYXYvZPSlQsT4OyaCuTozvWV4217cOEgMoT2XNMYQxLdA9knB1DDWWH4h79gqVFG1txTCrfTR0nWx5UvMlL/8iJI4Wr60rqQmUL1zfzJSZHpunepLoYBbefkgBGiO96Ffz8L0yV9kJhwki9PVcfrEdBtwJhmKierpyFCmRxnmHOIlKC898WzukunN+dvsQKHxrRF97behpmWmnWsNPQZW2/Tk1fo4t8HMlluD/J0HADPl7gElt9oQstpQpxL4EtsxNxse9nKQbgphDWjx3osRzn4mJc7ZUrqQqNRRwNi6mnkOreIBttTnX2VKWJPlhr9A7xAO67493pn5tpv3Bzwb5YBMCUzv79z2NW9xnrxDztuyR+k8vNAtjRbeeGJqbxSePZVyXlioknBuHFspIh7+I13gyHllxU7GXPnaslDBT6nObKWH1NL4FBFJsrW98mCgd4mKaFj9Wc0N18Iq6jc0dVy3VZuRO5KluN1b7nI6npndxo3Fo34QoHr3D+mheaRlHWGrzXC5JJxSK4TOhHeb2egEfnsZ8puojNCIXt9BHk9PIUicajZ5Sfvo4YVuhbHSxd3/x+GR56pfAWbjnPVch9cukRd0j7rvjafxSeOfgHQe2pKdW790cMEjUQPKlihYhFKcT74huc5Z6p2JSf3TXJB2lPl8ThoJGX07RfEOYb70mbJrQEmmKhe6Zpvt5NMb5UachdTUVlltfyLc6aKT/g1q8+tRzsfSXAQ2U/mQEj6iB5IFyA/BGkdYteEEh53Y8stajAP1388aO6fgsBytGlXuOkHzwYGPF0siSF/Ch2G7GS0qznFf468jUgpOXp5gr9S0uLx91j+JObVdIqx/3DkP7xkJJfS4+jnP7T0IZXMettqdcDFRwc3NMTIpxrt0jlIjUc3L8Ggff530PggWy8HM+TQC4gF9fzNIgX+C8H4hfh8P4Nxf9/D8XngP8EKqNmTv9/jlP+H0AQ/4trCLz/z64hkPz7GsJ/dw0hk52T+9/3EP4F9xB42I3BIE4ubh5OIxMOMAjECTQBQkx4jMHsYCDQhIP3v72H8C/At0EmYBD3vxDfBvx3+Paltm00rZu/d+8AksiLhvp6pBfwL+po3yukHC1mP6nkNjDgUAfTMlkKDsE2hB8vpvS9asxjTdeWnu4vrgrJu1ueeq5mH0CLj49bpU83fzTivdKna49Hrzdn9ANHV6e69/5P0O9HbkJ/4Nvtf+Dbfo83e7BuXCbHMX/BSH3tMgTPQ3Qr3FfQ37NiwSuFC/G/Hxa3zPWqIqnEA7oaVA4G1irbDYq5mXxDfqyr2C3JlV0NMAURcRSZ3adqT6u1JeysqQTlRLNjB+ZtRskYucP5nkK54il9sc+obuC+A6fXWzlxOFywcjkTL1+iefcWgYl0Cxe/1L3yjS1Rw0r7pvtumjb7GCpEbIRSpz1QKs4xMuOiMnsjcwC4XSAZNiwMoJ0TvhxBGnXAtgie7DRNWUMv1zA/ZoFqr1q/GiDjr/9mID0YX6KrCP/yY0GHHeHbdfGvBcRMrhoGEyYY0iSJ2HoFzH4PtubTjqaKD7QiBW13mqBAinzEtGRqmfELo/XfV1OMue8n6QPHN7oaLzYQv4dVVlHPmPA2oExVvzJyYB+5SCfZt9V1TH0ruoUy94a97w1Vsur7qwmM6mWib/ebeIr7yGISHIM0MqYuByc5csTULU7cOUfCHr/gHKBwun2EpWcxftlWit9vLXz69v1s8+jHhvicqfHYVu0WIuctmDIakvFMaqHRP6fOjB8WI04TlsIwVhXhUGH4gV6c0Fi8vorww4DPUo4505fugnO8NGQUbClMlEfcsAyJLn4kLGJjudxiN5yP9RWv+VP1IXzCGiYiipbMvtg344oe35LSldSJZNs7iAJ//dKj7phNhbqfxfyaV5fReMnb1l+VcLdxMu80HCQYgafJIdCWTAEvmSQv3h676DvCZYO6f+JimP/5LVMUlTROVd7B9ACR44sheC1vrkNBLc/vLwLTzRzOdWGOoL3eyOKQOO8zeV2VXr6eSKnMnO0NLFxmq6kkMySJjDfC0rbfCoc8WHvlX2T6Hi6pEoZRpI8PMhZxuww4nujK16WSo07Dv2b4bvXW3b1W1YdYSZij5rvww5eiOhE7Hap8TjUTYe6xQUnNpq+/9VyEloWcRV86xBjtWLOitEBLkfmmGH47ltxvKq9Yq5u9njb2Z6B6k7rpgdrxMWhmod+4tcz7Uy+P5ouA409c2lQLkkN9hx+wuk35UCcklKWysmvdHVXOQ2DUFtwpHkul+Ckos62xMEyX+dkSo4a1d/5plhfGKDvQiesHoZ/DXTSTXLa3EAeAvfHGYfS0KU9WV/0lynSuv8h8EGUhumYSymScvKj+pUmaQl9XsWFjeiDvRc+2FK0ASm9ikuThleXhwNqnqOGDj1udJZ1531gO3H1lysZ/8zcA9NW2yiRumWaiDYpZXzAkoYlylyH4o+4lD6qXxNtsmCPz29+p//qKwfgxa8gbmV/xzFilCCmmJZZiLi2fcKBQYHx5DxG2r+VV4FmSVS3eNrmIZ1WX5ulCZU2AnoXd60hBm9/KKQh/0LP9md+aIRNDxNU3Ise273E/d6Syrg+DvM1VKm0regi5PNCiMiKXgzDg/oX8gIeeQcJLugapKpIBy6rBts0x//13FEMjpwNU2wcrgLqFAZqUqp5dpClJtx97AmFwKijqAYP8/b1NDhbUDRxR1C1mTtV0uGNrHgREbC6ElA2JkBHWNL9EKxR9G+nzhaOlG62MH4IUmsaadzI6QXFkX3pwjPqm8cWgH1Wo83YRKqjOgkKQ4fGaJ/dS43nOQiV45q2nfWk7k5jjbxP6+L5IdkbEs1zmm0byEnHuIb+oWabYDrhzRdiTu5p5XRbsmfN544dJKg+/PtYYXmEHJs3v1igei7Xz0YURyy9VhsY15g8gIuo5gnmzTuNFdx7ntRJ8eVWK6DdAjxzSH4t0vDo+7CaHs0DvXqJx74FcTPT8OA+6hUQh/7jzfSAAlfYb9k9fC6NWLuleph3TQiIi732HQTl0obAdxwXR8bi7VIruuETlalq8ps3iR+3SGP8qLTE2fiKK0i2HX2I3cG0gJnxHl9SXZR9eOh6LHJN1dFhOyV5gLoEoGUlHpMzzci7Lyw3L3ofNS8VeqkQdk3TNWPSXmTgxYmsBvBuu18uivfbgvTTnSEh3GGia902TIZLpNKyR1eu0XXGqRgqp3vuNmNK7QzS5ESWchpLMYSR1a/AuvzfIAWJfAp0QZYUDSlH9F+7xEwoxsqigDBodhbxy63zGiPGfz94ZOi4GiAtTqgm+oSlpEyNSxm8+TLLgg+WQ7W/W9F5OMeR/4b+uLaskb1W221A/rWAm6GW9TSFBFb/NvoiDf+g+qhQNlKRj1ap1i41BKJ+XVF77jJ3A+toI3RFLkf5mUoqRvPR3Z6Ya+mJjHtsw0LCBEOPHjcviLh59xHfz1bYVUWyY0GxLugx08mEaczZD5zX/IEMOf9kHYbaZr8c0Fqa2ck7KQxUyGa2wOaaGfIRCejX7R8UnvPkEGo3j6LiPZlwBXYOeoTmt+to22k5A3Y2AKNakM473hbnleNaN5g9bzmi669WPPpp2vViXv4f4+NhK08/4Pv6oy/x23BDBXU2v1q8O8z56zPiaheHOh/rBV14D7Ei6VaJ/u8jqXVAsXrS+iXos6874kXIKoW63a5JA+KQxfaXyp/kTGvOgdbaKQS9BmlVXDFyUjB7c3cb8MENbZVqqejq8FCULbXVc4WvopCMOsWxSkAJ7xta3OcKPdtIydKbCOeCxfsxaHMkPjhFNgxsDZI6R5AFMDRGl2vXnk2/UvG6xA04w73fRtbKysxBz3agPJlMQUEkcre6CvtvvHsWGLRf1dtKXZt12I0pMQbETXv9iXCZ7ymz1LcK3/aTVc7cbS3SePs3mRb5vkcOhnM5SzcffEkRU9aEU2Ghjgv8GC5sazQH+9akCv6NK6rv40QFTnwRGvWOTXhQFr9vXIQdEsvmOBfRNLrjbhaXHOQ0UP1zQe5H0cTwiF1RLGoHkW4T77ZytVQ58qtGLr2V1daNkX4BqKHExiyUJpEK3U5SyZX9Ik37gUAZy92d7NiNDEePxUnrbyHrMTqh8Q4RayVtcVxMf4/QOHbVFT2PshAi/ITEmun/XLlH5bIhltD3j10Z5aObtUh+DMJquN9rlo0VriVqHIr0x0dlyLkkXosDAmGKpY9Y/PKLRbTDoeUMxhP37rg0jDf336bHE5SBvMA8RM2Gip8W3jpJcSuIU5fdNMN0TnY00izotPfTwksduGhQ1uq6jOjEdljf11fhqQPXGuzIV06SvlkQ+U7y1zwaMG4RLNHrO/DpBqNFMGE5ISuhh3RsWN7kgYeNbt+WjEoLr0CTB/DmGG2HWmVWlJPOVAjO8/kBe3wNLakozKs0zVT/IuuAWO8b5h/J+n5+QBfX+RaDm4GOkwjZLceTLZHxH4h5MPGNO5Wu1OQa1QY/fW1pQDzPbSxPJBOLu08+S2D/YSPs+CWJ2bzsPIS0qnn0oaWYUj34zy2VV+vMr3SrWRLz7IZ6aWxaBU71YRIOpsU9V5H6ZfW8qIUDGFkHETTGo+1sxA5NfYZtisfZvDqkZMkNbtJUOdgVj2Etd4ZNdUoRdhO7emLzFZAUIAn2ziQbzy7TnqvOLvIttnzdv4t40TsC3CVagSz1/t3mfy915/epFaXSJ+RHaFkJ4SU175QjLIgmWLFrLY0j2kHUrQ0MmKaeeiTRl+wcVvfkhhusBfdXdh6CzDWtOMyFib5JdD/WB5Z+FK49VyuW/+1VkTprKn+5bNj1qlEukQzAV0jBzUzZMu78oZmBHr9ASPCVSvNsVRiIzMm/KCMabGrGd9mDmUlanaixJCynXkRv7Wr0RIpem/7Mn9/DV47nA3OlezKiYpN30F2z6S2hiKKNKGm9jKVtraxDGsaTebOsntn5hr7Ghb1hcNmEgU3wYVIzrYTeq9nsq0tBpR/wCd+QyuPGDxmMo5XbqhB5qTWqY6mt80PUJiswFt1c0prDByxWQiCw5lvOsy9fycVYmnyZ4jtXs5gN037oqQ+INbKCJ51VnXqHYOv6KeJlJAyOBeTqTs907DYMCaFdcjXphLIG41+6SzYYpdr1pXUb2651U8jwlzNNyxR2Z/Mtu42ZNhKU02feODqwu9w8stOmRbr1ygKwdUZllvyX3tIZPPUuTXR+Wd+t0e0sXAUHVvwx5yFj5sritbDDfclU2biXuX61bMcsbLL3P5Tf9rivVYVA9mr+srMj9TW6lhJgejV/DA0OORXWqccfDc3tXPSKyn6nuXP9h1RNx3CR3mfpVo44I+n5iN62PsG1r9oIgorBguv5GTZu5m2rGfRvRiP6VvPAiQhP8Zp1CbwQxm7oAWLxy3GSxuIHM3cNKUd/nO9BtVoFSWEYNDvc3Yy/YWuiGfbDnuIesN3uCU6jzrO7rzU1CdMce+u2GBGewycxs9B7YY41dJI0ktcQNWZb78jjrfoxuGPdX6H5p/2AkFWvXl6QA7m9L98oVMuxm0UnyySWsLlubbOqK1aHTRPMJJ2GsZO02aNJGR9jUXntnikfsdl31ZpMN1AE9W6nLVWkRBqNanN6jp3Btek6o/WpJYmY4C4ko/pkXq9WR9iT7U6yiMS7nJjfGsa1vpbyzYZ5kzY9kIIoLEqK2lIhC+abWtylyq13yqeHKl+iP10FZXUR4akd72HwRKgqHPtkXdjtjeN1nKB5rjKDmO4mAYaFQq726L2d1J6o2450EI7+giIs3LOgj91q0iakggYPJE4C/3ZtrjQMQIA33N473aIGi7whfIVGFjG160RRI7ct0aPOVGJqQdhLvt+pNsag59FGXmFWHM413k7Ce6FnBoXdvMDnfuID37RyIe3DGhubDSRIrkVMaPOR13r4ATy4wSpJ9r1b9qKZF9+hM+HGNqe2LycSPbBOsZKnksVxcUKODL6dPcaHx/q4klDblSh3d84L1O6SuuLZlv1/Y0/ou/8pdLqABp/lISufsM2eOpuHrD+cDAfsb4MGA1jhAzGZVv/0alyqiiR9Gi6ePwkbiq/MJiRmqFnBaBlVfcRtYfAE78+wmO7dxKf9lQYklx9DIXeCRUUT7zntZE36EjTeqkns1+glCvHMWmr7Kt10cFdF5x5vsk/7CjQM8pG/SxvkEMnxnAhNuNnp7kk1qBuIU2Sq2XwkJGrxOhzUZNJ9VejdS1iIXaxRq0v7yPkNcApdxLfia7ZnhNnu2ovLvu607Y5VJeQDGno4LXoo3cacgKnn33KwaPUYasdyvuvxypZL9mQE3+WoZCSLf+nsHGnCu7YVa5nkavNwaL+gJv+ndve2RfnZRwZUjKGSOphMvZ2Nj4Sqk/YDQECxECk30PWvSMaztmH4T7nj85qSHtduQsTdV53uwuveM12UIq8Kdanx1CTrRahLtr0tP1nXiYRGSUTzFijG3gdeWttvyWn7w9Xz59qVHwKytuSDy6rKC2hRnehK96fQuS/7LNTq5V8dz+ncHK7+3fnsS787g4eMfgd/oTmck4t0zk/0U1iOO8LhIeiWF2RVsXGY/k++0spV7zOq5A9V9d1xM/ukdsoXOwFrdEJzUSAD5ZeG3od3MsJWdTUP/NV08+X7/kuXwUUAqqKc6TX8/sq3nDeuJvYP+Q43elFnaJ8GzGa7duIUODsNgIv82p6bNcbHHtFuhFoye67Xc4TPb147LsQ/HulSBfQz0l3I+PZm5FO8XtBlJnBNRNw/ZTbdj3clXP1YXdxoSFL03vRY86eqJwjRcR2cbn4uhVfQMpufYtqcOZv2qNrahC6z6CsRjnQnwpLXGNvt5hmR23RHQ2VtHcubON3d8e0r2s+JXXpxs7IaB0DzeY7zUEEFp56eVz3wYvxkMh4cOlw2ux9wG40w/JGXswLm0E7SxJRcyrn7CnNkbj8JipI+71JoSBSq8yVn4TPF5z2j+49om/ImKWs7CBLbqBxZcSfKdtzkDdriIxxPEcvocON3aXsI+17TxtE+noRvKV0zODbJT+g/cXwg06463FHX0gYInFfF0GL8MpcIb3XxK9Wp9nEjce7+WPxJTIdzvMrybfuBIjLPc8QOXLwybFwfkkwtYES4qNElQ9brmFBN6Qj8Ka+J/Wtjomsvk7GHbRZGpZJOa4LTqfHW4tiF3z3pEFHGR+XGDMd1KvXHjQzhLJtIdH+7JK805s5MqOT8PorTAoZJG/XG2Aq97nBAmTgm71+5WgWmeXSwNa/lanWUdZWWbFB4792uf1RvBbzkjCWoEtwSJcQlQgnCENCrDmdb61RmcKQa+J4NlWmmbgnEaG7IMOymYBm831d67ohnhn/sPzaUJB7TazkyWmYD50gSxCMZnVK0tMtLChMpWurAsb8fcdMqYiA+XXN+fL7gdS3rOm+JZmYvZVNWfE8gPgbDmo4cEGEbhvF5B4fqvak35RfSUHwe88qZ8ui5LxQ/jjLekl80q4g8KrzKI18Dp6RaWPbUMJuoe7Yq6HXI8vzoFYtMCTapLqL1ahPFsGwK7Q6X32rfEsp1BLGotRVsjSEsXRpfyZwLmB6WEtZpXhDP8s7PLEaa8rWXLFGd3FXCLrrbZx5dautOGaTpNN1f3pal0KydlBSZ5jcyV630Bugw0LsLCOJ8QbIvOk+i0Gh2IEPhhkr4tjY6XkvIiPT2h8Vd1n5b7A17S1hx2VoMtP43Fqf9gICRYpSgeNBCvtNiu6Dns79D4xa9eERlrG2t4cXPYY3XI7LzffoorTNnei+fpHuVbYYkIRVFG/X6Cr9SMwYZXutDkVwkFOYd8wZdj+PnTxyXX9GfTEV0EeONlelrzLHQgIcLY64PByyq3Rt4bjtxCc7lxFytCyeYTPq9VF18ejapOu4QYhcO6gXG+SgfHEPV67v4rR2SWnS7w5FRaU9WwftvF5Ywyl0KM2WtYgz+xUGLnwGntk4FybdkGpLWMovGG/LqGXMDa8KlHf/QXCp5FGiXe3a9OT6C6oL9E1AvHX4OGXUkPamJLW9HxyFn4DynZHbBHOi1CklgeBgh6yyMJopGjICveT68LpMIMLYl+LR1bDUbE3CS+tu7OdSfsjsy88hANu+Ewv6MOKlZfRaVCf80lhY/Cc0LfZcLh0hZmJBM964wMXSlcTwST8BuTf6Hq0SXseORsp/ocPWVkFsPq3PUWoGyHE6kFUJs1W4QBpMdrh+GP2UZX5423G1450fuqDytHFivzbA+TVM1D38g9XeCA38SvNlleyR2vEUy9fH8UB1My1AZ+bbr5wEiBjUyR+lX+E/OEx1JdNTrip+GTUmEaeSjUR6zZBSiVt2DvIiCN2qD9kn1PHdfrIYrKyyGABSmzyCZYxrZt3YaZDlwrT4sycqlR1lHTcnLotHscMCXsm7n/cE2+vcecdTYpgACs0IT3fEAYW5B1D9KTDRRSGI9cWBjJFHZ1rtXmX1X6BNSoP80ZYEhsZMWlfTgtCsS5E9IAtrxrSn26rq+qh/y2IuYgZCucEL4dQC/OSwyeb26719mwehJgvI+jWtEqVf+NcCfLpfPdDgtzk6a6qTHtgY3pCM5TyK47OdoLSUA6AAXHr7s3dtOv3Co8CmGqam+VFJ2PeB1g43XnRzvEjsohGoINLsMMbHGqu9qgwrPaA9H3LEycPq4PUQk3O93pzrpcVHtfdWuVN2UKYiXeSh/vSSllSPt50jfNtorh6IXGe+iekLEDvOt/dJAbTQ5FrzoG49jJcPYePmB517/fWY2Pr1Hqb3mQVKnD0POemnVDpdXt47he461ZCf5x44lnsX6o/vrxgth8KPwd/pLYw8Zn0acDVNNWykLMlIL03bpZDIb48boPudE8UgRWJYj3F24silVFQtSY2ulmGwG16GRYLPFXyJWYehyFiObvVE/2ztfG7He/y3IGSoyniyczO95eYtbGohDMvv0mh8aC409bCUMW6q7oxAnQCa9lvERYJ91y/rm4FeyinPNe2AlJp7oBX86GuxBPnpD2UWs2W3ksl4X8cDO8E/iSF5WfuW37+2f3wWxgtsV8iUGeIOlI7VR2dCMyaD+8getz0q1q+Zxd+MjawkvjKz6rsJ051tsTg3eeN9O+oETsA5PtfFuaOdXdBR/R/Lw3ti8DdGn5k0p8BqEEkQCX8e6jK279RZHkMQ8qpTfc0OOjpXzvp/spfa+H0iV0v5ymrdKjNm9gWo/X05WSj1f/E2Xi3N7FFgkCBVTi8Ur4yQFh5UhxCZR24hVhndIS0PJ0g/nAa3F8NR1eM/Vkd6O/hPqw1fKI+xfkTbdVUP6vg7xD/jchby7OP0BuLtDf0O/nSR4OLuC/we9/g9//t4DfHP8Gv/9l4DeQh+P/PvCbh/dfDn4bcXKZAMEgHiM2XjAYxM0GAvNAQBBeXnYOdi4jMA/o/yT4zQOBPCfTvw78pv5fwe+Gjf/4c7f0N8E1epoaamojdXVi6h/UNDVwvA7NbsSPS3wLgp+9XyL1nhUtafV5Pf7x321oRUFvz3MP3Tu6siR5eqSaK3fjy/F6Opv6W0e+mPJ69Hxq4QihZzq8msq9T3m8O7uoI+5ferrveryKenIbFfZ6ABTthZGP4yL3V/gzxaubJ1yqMXknxEUwu4fkIoNPCi5FX8XyzvY9+JG3RIQA4GoURkRo+I8cnPYsPFTDEDN1Fgz3XBJ/rjR5viHhXBTFMTxGm5m9skVbQm9VmioAeVmnUbrrymHzFxuP5sMcXgje0XavrHtVJYRdwKcSknwDP+y3Jctao+r9cnud6+12oTo6hNK+wtF9yS+/UyBYhTQCbFsfnNgK5RtZTZ/b8WidcspU1XFmtjP2JCdNc2Irq1OOQl1PaqBMi4Hu9thxOG07nnuQa940UClOKCNYeaopbtdxLLMNCvJ8h4ZSTYDLGPE/wJ/uHX5ZEHxV4VK/gV30VaJzpbNrZT+ACnEwMMym8zNpfDSudcZjqm0EJRZgTeiRKwBzrbZzP12yjgHGuzzozODr1DRTsR11+vGEwRT/XhFeQ7Ol0UAoDSsZa2Bkc71SRslpE8E2aH82df7wXtSfOLn80kCXbyzXWmSKFe0zQszT3R1eNyBI6rJaPsw0tT2TUMndXqz8h+tmTmSS3NcvPTrVyDFa6Pt1eQxbhekWoo65HKrYe0GfXnv6fq7SF+ATwCDYe3i0ZHXjgHif/ESiOWIFxI9aCGeuXazhnTE5g7xGfUmbVxZoZ+h+udEoFYug02FVT1Tu81cLjJuR4dbhLBqfraxptCNJIjrykSE+2jqqTS/S4xYWc1voYqmjANttnjjSvtiKAu6v11CJLe4HNqn1THgWu74Z67iMfZF5ygtc5BF/mRHMxUJMj7I47eeNvZ6TgDe3iFF9I06Op27vWH7w3jrRqAhrWdzFnQFLZzZkRWmkb/sj5U+UReuHkKGaLX6dWlPjtngIvVELHSApLeQnTZUJnyLamuUQBMaL8Otqb3UMoWXl3ZwPzg2mTZkDeVEq1aEkvAzOu85Q0W69DxqcbF1aMsfzfa9vSCTDFif2tkUkyvcdqLgRd1fQgj6rH8Y0YcX6CK1BtzyKL2WQ5V7g3pkaypWNKpcVMMoZmnT5op7E4W5dCvTZ9GCx7reIpJQPoZLBwzvRtFGNjGt47HjkW0n6XZ8mTE12MHyIXM1ibj51TxxYIn5Lu7rLis80Rvb7zRTRtpkZb/VPoSGz3gUV56NmBM/Q5egBSbxdsyRhcYcI+Q9cDdzLX6153Of7/eVvCg86cvAhqw61Veo1DbEGRAIEd49cvySzdVTORxMj86x/fdlTtmN3X5z2t1pDn7m3fQeXeirYjO3z4tQaFPQRHqc9gJXHWMdDuM9msQVv8nIre1duLUMMYyQlr4c1qXgx9ed2SPEv62Rn7Ny1Gz3f/HuDH8mZlUvdsFaOxr1pCmQj1t2tmHTrR7wHgStvxcIHjJtvKbk9DDMX+h5y+L3C9xSD4vI5HHGmiDGKfiLhak2F22Bch+nsOjn2RvLt2R0hzCVr3Sj7hWgLw/o4XL45QTkaPlTCKjphH1Wi10IoIbHopLy8eab+RghT7ZUzPQcUb75Jwi0Z/Liad2oLt7es9RXnByKfSU2g1G7xuMxmMIyizHYh81VyY1I94Iq1RM6jGHy1lhRNa2Z6h6EqeYRD2+lJqtSVgtksrqd3s+hpwdUAsep6L8YMmd4Wb1h1onnT4WvH5kJiMTdGNkrCeXpLIfUuv/3gxjkGfMPzuZzGJGQ3BjBOpSN+nvIWHr+YGzH1y1hUp47xx+pXvmhfJ4Hdm5TYM1aciLi/9JoI3MlvLUARSqg+RgtNRkdDghLtDFJ3fOfld71vdWse4U6E6qLNiOsFn5ot3s3uYEVgtyFcdqpLe0/eTj7uxLXXLdB5c2sHc6QtW3GFFeLcga9fd+9U4KqX9FlOr7AzXKUUzOz3e04E4v8ggB3dTfyKnPJmI2O8Hm2Zs8po15TYf/F27PB7BEjWSPg9OgVpkX04riRRLPt+/PXBwUbNB6ludZnz25c0Qu9+SRMMOuJlsmeynpId7aZFf5jfiWRQsw+rAAXGEXJ+fbdqLXRRaTpKaF9+07XSpXR7wf20oYPCs7TrJZR3Fvore69RSrOw2qBIkZKiIzLJ20G1bVpdAb4LQ4fB3BBm37Tv2HxOgR9IZSXR9kPvrV94wDKfEs7MihylB/buSrYzcw+k8nNZbfshMxJSaRTR6c+sqTJZzIT1pMfjFG1t6oN+dP00S7jJOnP58/BBnLr3wqOT6fzvjfWcUGHW+1GDCD/trsdq7N91pArmrYY2830P4ufMEfRAMvcfMFpobMLEtOZUfAxdtFZ5IVi7X7VR+57KIWcdLG8ZV9wMjzszahBoqZpHNRlTlVXDtynOVITD/KD5cQUoYCcOr54yKsPATpLiTG+7kg+qKdPDSivUeqHieuDm+vkSP9TxLpG8/4V5odoavC0rnwEyFXMYbrKy6ErJbpBebMlAXYMg7kIhfKBHPJZMxsQrNkFHBqvIs/I0Ha2K5XwXRqH1qqLyUBM2mwRH+PKwyKq4iKe31L0OCdujtKa+CVN4Dq5NPT5wgfKsgzRtIXTx0wrqrFnr6zjvZccoHFmlkZB2+O/M1oARhfjjQ+2FScs0aczJaqtK4LTRBThHWimC4+K46t3CIRqrZnUa4pgvYANspi+Q+1Y919tRLndyfRv2Cm+zcUz23c8AJO5SLyMYjtAMc6MewWyQa+hZruW5Tn48YiTz3u1YWqgatSXd5qNx4OCNimJ26baYBxRi2/Z7MSd/TLyMOu5Nc7yumcoOP2rLkfy804vZ6FM9TXtpB2vf+4co7N07vFa3onqNahgR3vbbpLctTDCj+gj2N7cuXMPmtji0LsSFoIzOswxUFu4fb1WwA1Pr0NeDm4CxDz4Z9lfFqMezhQec1XtCbi1Qd6yqKv/pBY/7SIfyA/gDCvVom2nkFWc1KG/jq1KEOdRStB5BN3afn0xvVrVHJMhCczYNp6UxQN1g6FDWBl0n/zANO3bzg1WVKwJmjlK5nVnJyqj8dyRpQpofInV7PXWI7OJQQGRgkYtEzFySRIuntfuuE6gFyQvle1QBwVKmaa0/8eTdlbt5mSHmZB2jj9P0XtKjQMHXiCNENPz4ZTLn/W0evRgR29eqn+ntXYWTpHPFvFbVi74rhth+0cao3AnqkR6Qi5sKC1rh+wUEtSv83hRKZHAejcUN0mw0s7dipQl9pfGCyVMIficiGtnDuTJoxVtXuDucMmNO9/fnWwGXhGPPHqaX6RsGxT6ss+ZTmlJAFoJv8cFTBKYA97yQX6T8O4b5/jbS+u+FaJGoOjS2TRk+8dWevOUdRvB24eUi+Aa+bs2Bj059+JlzPcZtham7AHMv6Vi6OOhD365fSrP4MBkXGMahbRmTz4IoV/5tNb2wxZ50ePu9jOQCeIpBfQC5hudYc4iI8Tp3GCYAauvBZ56ePrcEYg3BkfZ7fKbfI9QY+u3gLSnL9fMBNydXLy8S+ZSASesUXla7kos5rrqjGpbvdY6weLUaXHyd//GQIq+KBO0sej3hoi/PqyxTv2nZZjo/0Ybt/d0aRek6YRXx4EgDMpqfodZRyWKFpEoFXkW5aIw5Y+VGzh32Fyp2sOI3sxYtKr+A6YI3+/LWxfI4qerG4Y1+Va6EP/9He/cUnFnXhos6Njq2OrZt27bRsW29cdJJOnY6tm3btvHGdvb3rbV21Trcu+pfR+s/HGOOmgdz1qxR87nquUfcb0vo7C1Mo8dfZOv9VTNQChHvCUTfipYHFP33yhRcJDMNzVpyu6JTnkWqwFfIT5qjDKH3QadVzDVJjvpNKhFMfdOfz4Dg6WVdjl56Y3N8FuLz1EIXZqOltVjOrHiL0evoRMnYgHRHvVywcUOsJ8h4X/e+kRzeBQ7UbsZWeL0YdteEhvQ5BJgQ7Fst3kcXcYdteuj7ItlOf83I9cUzWGS8unO+OBY3DiEeNmI1APjr48KR/iuLWtStrALBhAUyYJN4cytIKGv+4axlou3jRDCC8S2fHru7L/AsXM2kk/CvIZ70bP6A1OQixhm57rP4WH/RMgx3I1+ZfycC0dqlLIOFZFOTghOCL3z7IFqGE2/PEUlm+wfRlyGOtqsQlq6h7cByw8k6p/MLew7+nDrd3N5JqpsoXNfzV/qvCfgcgr94JhEBz3haltLKP649FeVM/zaBRJOrDYj9nCZhZ3OPk0AD6zaQhkgq16k8WAVTQ4Kd3rwwc9EAQ1hlntsonHNc+NrcCXqEpYSSK9c+xcGQ4FVCc+sqtO3V4AJXUxgbfHpP6vo7JPB1RsocUwhmwbSNV/vK+nFw1HeCAYW7S+y9x8zY9KVejfoWYwVwk7Dj+ObhvrlwD9SaScKaNupkcwReCwbsIPuYKCg5EyJpbBWi3EHrU+0NHLMi/61I/XwDN4kuib6/9Ao778cEkZqHzZ2PbDmxliLVUqRTRIIm/oXWBgHuyYaFVZIuzHY3G8ft6NEdqHhqozmBGuBXWq1FqjO+shRaWCr+px7Y+akVu1bvXwdhvz9F2sq/smed2816QRL0gm1u2sMjdz0A5Na8PRomsGPo5vvnO/szArXZkOHjPGF8xoXS1jwPPbnf9LTHKmjO9dDtM1s2EAlYtCDiSv9QAAZPh836FI0REeoEyzkHooBIoY8k2nG0e24p1tRZsmDNsto69N3znZhVxPvbXZXBHbuaRFbE79gaFfCBWo0eVhF1XTyyAwnrY8SGvHUHP9Fi5cGnEbZ8HHRAeK6zOeHTS5yGCTc01/DXiROn3c12Mz8w+xgNg45HkqQ7x51nrqYj49KqZ+tcsgyN5CVXXqZKpmqkXLfRXAJHfc0HcW+V5nRpvXqeTz7fxlQ4vRB87kr5oihVqhLk6V8+LCpHNl013jGl64LpZ24H81+tKlpl2Ee5P34ez+KzI+X8FXzbY578a8FGZArOU/IRvdTgu+GprZcPRdx37qd/muWlgnR/NSmX5Qc861yZx2p8PJJA2kGYR4lVBR8Owz30LIiaKntTE8Gdo+wrWS282FCn9xya90pctS4Cfg3oRCj7uQSfToUfNNGsCD5SV/lsMq6hu5+O4pK/HrHefyGB/SCTE3lY+BMYRjCPa1BC/fj0cZSAOOqCJiSjOJDx3KWMCUGHHBeWmQBuYc9RckIjpihYQlZS0tX19mtHWE9FhOMz32Z/07TMIdaonHFn6ziAEIrLX56rLvWa9G8heb1RBREqdIvLsPyheq+OBmUNDyVtdlPqWO+lD+qney7bnV0aDA2fVaffRPKTb3AY+ecD13xBG5H2FX3BBD6mASW198z0U7q44Havs/Pp67CT9SjhcxTlNK/8hqd7sCEEtK9YS+oT5Y5pzxCLeKdr9erl2y6TAK4tbNDWQipKWi0Pr4NvBXLezh0YxrkLJZolIMzxHpm2kyHjeq6IYg3dPxlpaIz00UATSPD1QPRqX6qgwqTiQzhVCHutPmu0tkTh483TDRs8rF2LfNHRlYZosqerIIi2+lIg3v43BJSAy2GE6vrLTtQk6PJt9eVWGy+UfRGqX2EiRTJWlxByOGWpzjA3d8/7OAs9irozQW6rLZDOsFrIvLkThuKaQZeX3zh/IYamblIU/HSdjmLzxQeV9uPipMxnLOCBb+su7RXTXxz7Z/wz5ntW2MSVEfAHrHLsgNXqhuwgKqa9F8bT0yaB0g948JtxPMWHieffnx8YD6KBdV4ui/4HRVCEBSuZVI0+6hWlmVAIRJMEuoefiKklhmXzWxzdYtmzmQo7B0OhA3WMdZeIDfLaApPKAhDkw8d74CrfF5Kn6FA1kfDD9LlNzhh621iwuj+zesUO2IX6F95NzKkhfag63MTprU8HD0QdGIO5OGtb8IYzly7WOM88Z8ntnuLFPm8z14gJR8eZSbaHbXKdFNS0tu9QMsOWFuR7zJgEzfCwmsvMwN5VoBrPup4JKpizGvaUwUIUiHzlOnhfuhRrjxwIhyjZdf07e47Ik5gW6HQBLZt58td19NbkWmAVBnvmofTNUckTKUtXnnk37+FU3ZgamYTLAW9tdqG/pxhOUgCP/gp1Ta87RzBxiL6OsdJylh5FEB5b8BoizfcaDq/hNtAHVyeSfHsq1iQT1KihJ1RsJc4T16EAP2sj6TnTg0IW3fcfabU5nv4HJZCT9f6Me6JTuiZJ7znV1EkpRlg9uPW3Lk031RkiM5a6irMWYXfCbe5Wzdc+lZDPzYb+r8IZANeC5c1QeIYe+tUPBKcB1Wz5RFzmmyuLsBFETEkfs/ofGsPat6sP6kEe/VSMjXHWMfpc2HubOH9B4R87fp3UmSsiQ136f4Q9jjjVnbn5utey25463apC6X5Z99PP9FZTwS1p9KDJHfZSrJ4xrN/oJeMQKBANdYjHc16yFnhK8eHzO8OskObNucXtjrMN93x2UWT5PThjg+u+cMxqP6DCdFt4DfWFIiWfgP8JO+VveMnzFxmvlkiVwfveU33gCvQ6coa192JtBmBBXTB+49lK9AKM9JqGeLp5a28F2+R+o84DXy7znlotM3cavKu5eSh861cgOkyswrL20glDh3hQanhUYltL3MKJcn2LV/z4F44k2MFl3AIyVh2OzHzZKOgfRN4Fpkh9IBe2UG1eUISPnAwdYVbarMwamXJ4q54fEY4DY71GXdsU4NoxP73pI0HTjbfQwjZU7dLz9YhvHW9uGJHxrTQPhRJliGglB9caumi9XAWR+b5eu9RRDkGCZsSJMw1rv18gt/z4+dADQNNoVRqZ+IUtgM/X1r+rs+JlDFe95ErFAv3xBFIoyHwpplndaCIo7yFbvPucA4xAulyZIaRQmMc0XtfQVN34RmGhY/Hn5JtSF0rvHZ/p6EzYc1V0tZvoSby1iGwhTUsfpWd6iJszYDJLvvToG+esR0/Zf+Y0nC/VekgQtmagHbicTBp1SWZAUFq+2b9qYEx7/KY1ttGBdE8qlF170fZwXCCt1InEg8ufk97dXx/FA98CWj7AaFl1/2Wsu54xpXqJ14GWLY7XWltG/nqBRKV9HLT+/X3wCDGoPm5kCagx/g5aBJ9usLlBAdnBnJ5bFXGLuk5qfTTlMIL/GsF62U1n19LXj9pdKeW6uPxs07kEORPinqSH7TxCh0NGPLmxG8F0zywvapBWf0pVlJcDR2eaj2A2Zls2MwmZ2N7+eADxB6q3y5Qbbtf2r7pjOK+dS/6oKIm3Za+pE/bCTHg+jT5VI4b3qT3uY3QAhVStINte1m3N7UkYaf9+9OCxfUNewnUf5DuO6rLnQzTM1cuyLsKryBUUW74Zq1uA2Yn6etupMGR28sjlxtucd8hX4YyG1sJfnbjnPrnxSbdMjM0VZXzYkg7PwpEatAgW122X/jPrX9a9SpudNHW1bfiluB0E3pCvWixok4b5Fbaq68+YZW8HHfA6V+hR7EjF0iNEqf/+493iaa01YA4054R9x5NhfBladkPQt93+rcEeKOlzXJY7Jmztu55j3N/7q8l9YT+BGX/yL2svooKDIpeyeKYHmmXf09I72rVWFIdCymXIc3qbt2hRkSvmxifxFm5+r67fOnDCeyJgu+XdGDYPs+KvFTBeV9BbtZ3DB94xlYaspzOgk6Ya5oDaG5U2fcUxjltA+KtN+vaMjzew26UjsKYzatRJVzC747G+n+TldDX2tKQESiil0SYMoUJlZd3ULkSnPlH6ZpaRaCJpAO6aDs/0+cPTwqxd0NkIfj/nr6XdcikDMv2mZR2nfk98dDODBmEvjV2i9OrHnCv8OTYdGtyN31GirTaW+mespcmkrm4VrsQPuIGvmPsakl9JFbLMEFFeIy3aMLTnOcuCH4qEHlc2C1lnsmn1zzgVn9K1Jfr8ED1vxEgnZHv9rtnIUze8Xg9BR1FJ3COhG2/VLXgNYJW/h6YSfl0zxsTOhE0L9sSsH2DpfiY+uZCvUAzWvMYwhpWsfQw/J1QWnTK7/rPjWV0HjnobKTYeKzYXDMLk5VTvN2IPmKnuIsFu3inFsKMEz3V6MLaONh9d4jCCNnjA4juOqaLQEqmF627zBV2/Om18WFvXoDWX5PofdHC27HkqY+EEs0/yoec8ON7zFqHHIvYRus2sec96FD08O2j2Bnz+W3xfcQAIL2xHPzczG9Gl3Ap++VT0BsB8M7OdvX9a4vWz/TW/fRb83g66eW5xyLx+6RlpZhAY+Lfy7hTwhPvB32z69hUQ/23TsfTP3b7/l3cfi5sI7f7HvBvw/7nFm5OOmIWZ498JVi7uf5Zxs3D917r/a93/V1g3+3/Wuln+L7ZuVmbu/1r3f8C6WVi4OdlZOE3N2cy52CxYmI2ZzM0sLFjMWf8ZmXKwMv+ftG5jDi7j/2SjN/v/Zt3eusj1481H718YtMA/Aig/yky6nNDatMMCo7IVAJkwEeNFcKVJ9zu8b5dZV/7MKDCL5tPMI9gNX/f/WvYzr82479t7bs+X//LBw/P3iwHtPPXnv+OT/9Hm3fN1//z+za/trq2N/ljxxv/Vod0T5fz6z4KX7+67AKK3k5oe7aXpxh+6Q7opyTZ7cyKEKH+k4o8XdCgct3w0bXE7ACRZLNrBU4Rxjaf89DqC1DN9B49ef4dF7aAK7DhBLzZugmv6TEDrqtHQ4rzNlBUFAhB+rz7hccSoQXRLMppkciXv/RAketmkwXLgbm7B4VFX3gOOmUx5E5mBNR1D1F0B3207gINKZ4tnsVdN+V4Bw/c005bWl+2irDVurr87/Q3Ofnl0st1/JaBie9VgVthy4fnpU2IqzacoOdwo4uyw4gTnL+tn0YksR4yMUv+BqKTJh9rAKexgjuy3CwGtWGIG2eclUC89aB4sVxyJwVmBo4bKMMGP1h+0OHJsIH7kpNVoE8dLuXFaEZ7LqlEryjUdgC7EpxGpXmeLkJ1nauACMBEvoVQQ59vOI2j1N68dhtooKhJvbtJBSJ89LcLa+7NmlHQgYzgw3xxVG4ZzIyvW3/nlWF8dMMHg/V6S6RoC3QppIhg+qpsQnvSgQAyiYbsfdvR+wavJ7jaleHDbAs+uMLTaGj4S+ihI7oN1kImCUpiyenuiOfVKDJ3SbAO9r+3IqBV1DwzZM8e5iOXRnvtZ87fntqYCljtsOyEsBRmxi7oFgXBb1nGwW03GCCqVF7nS3lRVNvJBbpS9SlXBKrkuh77GaqvavSIrmfovgJmhq2gxHisPdzPW1noBYp8ZTtUcCxlrsHiDv/CzuP6rsuctEWDVnrcBF2LkIoTjkQ1d72COcWWXNpspCDs1SlCDGYof/gJCR79+xcOQPHTh+RdLtFfICOu8v5mQHN/3wNxezz5sSLr+5lWrddj9GUbf3D8d9mkkEld2qoNkcZKWNHroPablQRFsjhs+YTUtq24fBsoo+I/ozMf2Iw8jlhoO8fYQoQeO8Df3BATFs4/wpQowY63RAqW8rmlIh5ltu70MlcDTvmPECyUhpoixLWQt39rJFd3OoawNCHN0czxfudM8QAVZXnnRRSl5jCmL4jL9Aqaqjef0sIg092HMCW99nK6M3y3n8HRIpVxqVrbz3PV9QZn8FKmw7++DW0pkS1broUjY9TdpIPT1Qk0JJxkH8OXGbkEXxcrXfSrEfytfsLZFzw7RRz3yLplgrsug4yquf4RbIfx1d7zinjpQNABTIVAHLdCjgMmX9imm/mcButwNIpgrktDzmu53y5FX8oA+L7+Tk9Uz4U65DZVhxbEcB/SO+cYfcwer5Mq+cNfnXlzdKlg01LXFnQiNhpeq8YE7BduLEyGb4uxflUxu2yRPj2TTg1kaoGJ16kqsrBUxhLXuoFUGPovSd/QvcuaHtFZE1Q8/UteJczZVax7e2UYUrgzqnXZNDdKLOYfD/wBCal1kkO6eT4JSrk+x6+K9xjEYpLFsf7+zZ54lZDraNaEhPllfK+cjk+dVvWPtNX4tzIraNhKPmUcTsh6kwWouook/0MlAvTbgst5soUM81w1joWClrxrGtPQHD+atOaLHmDc8yr5U0gTW3Prlwpaa83MZ9KPfZu/i6iq94184jpuSXZpLGP/u6ntaJ/15WD/xYqQHPtQuxZuR7EcYCQPJ0LmoGuHm5Rmylrqh1WYfnP5mqWwCTreO5H8AXqJKg3swPO31os+4D/FusRp3TtwnKkfc/WAvyPSlmp5wdcXjVvKwXxU8/ucO9hjiOntzPGLeh2AS4nBWVMWv87Ebn5zLwQ/F8Co8q07YzW13BybP6zQZqgOJF56hKgsFxaMjHEILwBQgYIJPa4oxtWvWbcw4i8V/USMr0bOTimikzeUgWE6iNk7VVwuCV16DzzKoCEdClwHEAD6/E8K020YHnOtCfNprXU8YqEA8wJTaoYs0XGTBqwUzJUa6tmINm0QWInOu+IhUVcjEiu8c8jQC8/NSbk973V2Acuk9mqhBKiTY93d3Pgluv6QJSwl/eisqtqlQzoFmQhtxAt0zq2p3RiS9ebg6jFGQ1MEykHrmwrlWwrcWVMsiiK5C/p7YhtgBZbE80TPhtQUaQN6SC2kqGfViuoDy7C/e1zE3bE18cYZXkDfes8WCH0XWCewoG5SI0P73QXj5FgH7jx3+q/etcfROTqfElwDaNaqZVm3Rysr6HtVmLVbbIOWGbg2ZjyyHh7vsa0kURQclXvG4qb6kTHNuZFg66ZKDaNSltVbBv6S2OtK9OS/OmdwduN2JXcVoU3xDTBBbnXpChLpQ7Eczw5m/sSd2cf/qVtrXFNbRWWKDl4Gzf3YHaHVs8EK002A3UpXhwO68R1FLT/fcH/ntEL9kAfBMOIlZ3THXOfWAdYPCpOwx0sjQfXiuKjrbnfpsPQ8VEJTWWbNf7lldbWuc9IGFVKYnDFzpo/zZ8HxwpSSb7/R495Ik7J4P8RG4SIbsMf18kOF31KUcBGoOOUTqVb5IW7GEHnBgYkoluOU+hn1BmHtW/rQnSNtxOV9VM3ymLSuFgMLiZTZbCOZMOZwHI/82Rl81fg6+bPowpuYXkBP6k4ZXI08SPQg3wFTHo4kN/x5EsQLRT6vLOmaP9YVgRhykBwOkSd36Txparn4UgdmpsR/xyhkitU7TL76iKD/sfTbU7H8EnKZ+ewV3wqJhb03iGz6HZD0OHGn3OfCh+o/w92bc02kKmOij3Sp1hKwa7ivgpAJD3b6DWZycputQL6thM1o0dw7WbDJpGdPxat0d7afGlWWIDQv43bz8rTTcZE2wg4/l4tO/cCLub2RfBboED1N7rjkb7JTEKPE2UlfG8KZCOESvTw9PM+O3UQ1f0dHD05W/cWjn+H5EUjWRX1ML8FUP7CvIl2Gbphn7ehGtWj9KEqHC4J7/znagm2zRtJJTFNs6YmI9b+fFkSmoV6LftMsQ58pg/7hD8464nrHqQo7HsF7PMGWcQArx5O/01BLISpb48L7DtJzStGL0yJw8L462aOQSixzUHjjqVUeZ2lEFUywXrrXYor1ON2oIWX6a/R0cfbUWyroEoZdIt4gXZxlSJTb1x/DTjeO4CWWJ3dkY0oCB3fAqzO+gKlg4D7/2pMIqrYo0p89EkPznxVh0rCcOD8xtJEpZt0FskUUH/EPLL/FjD5DYvrh7uP7CTiPLrTSjmDF1Df/bP1tYY2kL0IR9rVky5fZ0iVPT1dZ7UwfMsfaU9Gi55vrUt8tjEZWMNmw0/ni9AD46M2qO7hGbIAPqV24UJ6fLhqC9gWUo0Q+YW+aFbGGrX2DGD5H43oNztDqxz3p9ztz+VNuXycZlHhaQ8t/2pEW6t8QvoT+5+tZf9zh1a6Bp+lsqw1bpW7NbBiGvzNDQMZbGXbbp/Px+GtkhY3AQljNPxr5FBFlLMbiX2I6kaaOD6kH4AQh8hMJHn8iRFzJb859CrHAC5E9wokSTk5wFhwJ/V4Un539Oaj2zV6G0C1eYb2Zh2eqKLExGCULN9uJF2iYzRGKPpuLwLBJQc6xOZdpdUYgqbkOWIk2iVC6Wihht50WxumlaVDTm0BRh/g0Ob2vA0VDmJfuxHzH3Gf4c++ruNRhVecbBfo0jyMQ6J09+QZ9U3nuBfc9/hEgqyT/PuI1kUoAAakZxfLPXWmJk/QuERDHxz+jeb4kJfWbXozgNmedEejHgGuriztvPG7x4GE+8lOe54ZQW2jUrz0m1dmkP6ajyVm2uvMm8bW/cdYo/B1MTE74DmoyEdQu2lhy8evQ0ne3oVh3y1kLO7cRpMTdyU+rhgTTSfqAMHvqldpE1MTFfoprhGHZ1lBLrxFxAMZAWRGh8/n2ntKKGPTDdGcvzzTDFZp6tplReM2uyM3s91hWfWKG5BVprX9cZXY4JVBpwn4dRLnYetKf+RJqtT5R5rkJxUTEQfa1KioFnRoHJvpdWoSY3OrLT9bkf02PkgePKPvlH0dcbV6ur44oBQqcqtUj+RtTHCdm1xTUztk9h28EthYULLA4GKLpj9KAi9gZlezwjEVeEIZC8vpxMYG2wzTqSXDcJrvEgV/sNr97QNId/LSMJw/2g7mV7JhyNxJ+GZB3yzmzs9nRq0JZ3GwiK80tRuRbLo7sM6knzQ5E16x4fhJNF7yNSyJrFHBnb0YNocdbGH50gs6fGhs7dk0G0OYnAZj6KB9fNOG2ZgD7k91GGRj0qAsP1BnGgthkKI4An2NXQK3Uk+6EykY4/C50kDrh4nXGU8Iam/o8CQl9pjh5QLEs/ylmhzkXCNzIxlTgR5y0wQBv3NBULYml/2fbNuFQ5Mj5LIWcOLGgNHrR9DEH/Li7A0ehZFV0Nt4uauZZnrk3IVJlt6YNcgtAJMSqXCp4xL9k1nXHg90481mKu/Wlcg6YuobJ9ZdzIS8n1dRdtTpeC7f/Kv+SpHN/sitcuc7oC9zX0/eMWvubjxYrLKH6qZEzUebGHeL9hwwyGcG1kvH+ZVfy9AqeK7C9PmkzdkIZ8agSsH5XomZ7mwyn/TmDWDdWVO73fvt9P9rk37BI4AUU2Yt682LnTCRkY9oPAMtGOUd3h4Rqhdnk633pPIrrTr+kAz9D4rhLznxJEaMdV371rE24gRF0+KN1GagXs3ZdQEsZZgUxELI100xX5ewziTPHy4Ceci8zHrQ5IvsAFzoAsK4Hp+bcFeCk1/VEBZezQKJcVlKjCqWYcaAGsPQ++h/YVNYpJDxpw2R+ulRiZc2nXKGd50XSgHaNEUHBoTWrT8pmqSarZUkyHC5W+r1w8lIkodW8sowE3fV90X0zvmXaIz3FfBevJ77ZbLUTwvq8Q+caa5oWEjbBCy8DIz/uBZ39fvL85mKadETZi0VA6u6bRcE2hW6Mp8DxT46IsquctmXl7RNV9QTaOXqa8EGV1aXjC4ae+8KPINRKGmGCvvlxPhgJuIDFWWAVccJ37hSBIa5qMjjeucshiZBg3xdAVKuL1EqCgbVirD0OArdsE1c7cKQZdD90igF9LiBb/JYmpvaOycEka59uRrq1fUTqkE7u3oJ9D5VWhVC93DhYEGH1MGoafhBQ0CNU/T9qvs19rTWsZkncDOXVq1xljb4bIFKmGA4waA03Df2vXVGbReIy9Sr2gkarOWpHi4Nk7Ebz2dnpR4QC0cu/LL4jEM6vs8lWzN76x7FCMAHttcQxFTtfHdU/VRjPD70RS7qeGUnF9eHINERUumf+A9B7JnsTjZdX6eoZjmnnSm90OyLB4dLlv9ef7iEPfm4CgBTmaTUQ71T6rSk+4kJNCSCDHWZv9NuMnQ9+aBDnHUFydoL+xg59ao+ltmTZSgRE48EPgO/3bmt/tijOnplu+b73pFHEHte37vOd2Q3CWwfxjRDHjl6VsXuIAbXDL09u1p0OGRgmoOkOIlJ3GeD3zj5+GN2GfffGU4tDerdzkugU2OmOCAnoyPjiTnrA743S9Ca6aGHgT9oVHtaUWGH2WlWYXT2+dQT49XXVeBANWENsM30uKuPixLhzIvnRfD4c9jzdYyL3tUT+qgJITL3CwoL7WRIiwkNv+aDSKeZnRlBc6YUn0iESv4yvIPzdrmWM5aRUwuVqCZUo9yAbOzWTzzJodxRmFWoY9mTqNnh9FrepFVZ9Gcp0aRzCI2K4E6CIbyGSSt5n4s5A2bPc+F2AIwjpMFONyUbgpvJCT5q9ujZUEpir3iyC3q0W4VnPFmw+3o0MuE0dCKatyq9Yf9va4gCzGJ8vWKYt2fkcpqICvhwO9DkXC5HK1eRP+dSHbzJhU+g3qH9fUDXXuHqx/ejwBw4y5RNKMpJ7MaaJz2Ll8e+xssMmVHgDVCMLhC/gmWFLpgAJuLWxTk52I2vH54CuXtu+GgJukfcSgkvHp5hhq9tlG7hLPMkLb7P55sOW2BhhuC+VhhUTXoNIUuxibfvOKJKDUGTJeuB3M9vbHQcgvd6tZsCNynWci7H5RPpG3g50Jah9HGZdW1BhXdQ4NO++Ins+P4wZcu6GTE2DPO2Fi6gBCSsX915sGCtm9uxz23lInOPCVLMEScvbmCQKvTx99sLQniNSoJBtNqLjLUGqNOgI2VxPiKOB+DhT7J3IWtv9B0rpE28TyAGsiuoK3UYwCNCcaYOGHEFkn+rktwnCKTMBrwuEnPP3bW0y3fzQshXl2qblaODNyJ+VAvNZSxPddU5sUHVI3QEpsi8x6ql1/CSm03pD0l2b0GgJyOTzyx5Won+UZwhMzUKwP47aWcMceMbPxE67nDUKX0N/iwa6cnS3Kt9iw67rqIFKyl2oc5zpbjii0xv89BNlQkPMgaZJkNtVKzC6GY+5hYSRkD0qK44mYlGKvfMd7Ttf5prPk/etFCb4dfG0N/DYlEzjMovSC62Poq9tWgklrbWtfpt3Qnm5eU250pInYzBBCaFfEoECMvw6/ZJ+VjYJyRe8Jy5tzwbXOelcxUnPXJsr6KTeg0g+o2hyjKHkir0fs5mP441z2S2rOXy/mNYie6GXa5++TJQ6gKL8ZbsmRw0lAtU7b3mcpFJ4Uk3/bAVL38Vd2Prc/RNS6PQGmqECVDIuzpVmie8yxxOdgj3eIEUqeVcaCb2jY3tOqBybwJDddqeINHmdjarPTTiHM8X0ftKD/ad8u+o5edGLfx5pEC8fQ/88onRSi7abQ+DBSjpinZgo4P1ekEZ3gd5bPmqQ37B+oiAJ3qb22sji2gcxubTj6qj2snTIB4g3gODeLsTEm5FPPPZ7b9eFA/CqDlbaMAOn7kzHN9TNvr7ZquNHaeiHiheQm6Su3faa2/DX+ZLNsmAjvFYhPuBfShpWH2Ka/XqdDl9+AYQCw2RnZdG+wXT0G//Vwga/cdlrkD7g8nftLSclYu1eMY8+RRTnFx3BaW6H5ABwYpM9zsPfECjLEzjc6pFx0mg59orNmLLbpvi3AbUeAboinBZNB7RuX2ZVYgJgbZW76w3VApYH861awMn89+piFpyfoEV+3/fuOyOn+UH/IAA7PJ7IMwVAQKRjAuamkmfjLSAWrpBalkN6Naz1EufUX/+JSVRAH7xnUctKGx43aIdYFuy1r5Tq61PiKIGkUMV5swr4d2PTxO5At5zEcy+EXNGLaVelKMq2puU/4DXvGRO6jcTcn6ssAnhGgoa6zA1AFEf9532GYakw1LqMReO6MHltuV0mVzqPVqCj0uQ/Ld57lhCDuSFAL4Lwi7mwfBLRqcNumliMNymOUdjiTwou15aDo5l7TP09o1oNdYsrn3u7TFsUpLnr62s9FkQqETuuLB7zZFFAxzF+dlGinTiXUVXhO7a0YFrWQlAJqdsz7W0rGH0KtGTMLi88PlRdsorK6piH8TLV2V2pY8TIlDqM1a/c4KRIt3Y0u6NBgNeodVP2sPGsHV/JDd77A2QO+7mp6JBY6S1a3LqH98QRFtBI1Rn6THeJ8npPfDKG1Q18QMN++nvXGxzeMIWT+XrIrfZH2/3xiNARfky4NWYvOYWKAtkAgoTT4Oo1FQNYRPfx1Mn7/nmNSMb2NEw3pF65R4vtJpkDkSRcFnEEeWf7JTRh9VAinAuCrDcuzrmUMCFJwXILlZWc3RSL0TUu2kpwK2fT/1N8UyceH0Ya9CA97diDl00OIyilU5kTzziD4oYT24+aSk36kmULJwFC3HNwOy22w2w0keT4WdwbeQWnFRbxVngNXwstl1MLznKZWb/JV8avBkXO15wusSeRqaVLrUMMROIS1LMDGlqISAsuHcRR29apmdp9ZVs2yAyWDzrBuNkE+rp62i2B88ORaqK7j8M+voR0EVMBYt/8OjDvUuikiCX/mjMeSZnPzat42ffzwem6j2m9Fd8nLesBcZ50LSjk7kbKegb5ocsmQxtuy4CyXUoNFlcQB4pTaCLqhgEHDjf93yljrRcCnYK044GdoHg/yquCdLEcQfzUIbx0/+25dvNRP/sVcohD3c13LynIlxPVl7NowRQGj6dcfA5/QI6tU/V3PJUS6tbqSS13r32+Q10QBBeE5SNtcgtsYySsnmHgLX4nMvzzd4KiT0aGfq87tnpWZaAW7TgUVKoTfhGgCvnh/R89gy9vUZvzPhu+3/7fh+0o/eea6L7BMr/j75boQ7LvuM75ONndGcOTHaJrG0c73xztE/07u3pZf8Td/18Yd+9e/uas9M7gf/F0lD6/fBt8rz6rfjzXf4P8TwH3l03r/cwAe8P8LwDn+mePi5uDi+C98/xe+/y9IOOf8L3z/pw5a5+D6b8D5f8C9zUxN2ThZTZnMuNnYTTnNuNhN2FlNuVjMTc3NmNiZjFn+T7q3qakJl9l/0L1p/jf3bpddCJZZoOf69h+K4y/qSYhWUb+OeSeAA8Xg5eH5HwHnGEqU0wGC+YojZ1eR4HSzP1k1q5vqv0YCPu9nevQ1sF7/PbD79Vk9duF/BZxv/bOPCn6f/Htd8Psjfufk28F8zmLo06BrYuduJ3Xp3aDy++uE6CnA8DUA6/MkN0BVgDvp0DdFLZ8TA1ZBec2kQ1i4y32pMHjdScDk2pabZupSEZTRx0GxcWWrCusXNt5Ld5HAMsJyueYBk6gn5DboiYPNNQOCgCQItb108NpgMu+xAwwofPGa0Cvzhq8z18CVeXcELL5D3oflr7mGSsK+vcEVBv5IBeSlSeH7e6GEjqMUWjA4ZwzK9cNhsIFL3lJ+PaQOvTfQZCABDDKAV/EqtZro9FwfAZtdaig+Q/H8VvmRZNVANnwp+xxUwN9A22zqLBxeaYQ5YMgJOftGvvadgi7705RTZIFahm5kcuKIKx3dSCcTre9kGtKXg0AcAhtI4Ps0QgJMfA8K+v1NFfyYLI5jiJENcfsXY7CUwYcHNv5XOK6x2M++zZKPFDq6eeHYiEGkTB6DpxE4cYvC3wmjt70UHZYRMWYxUsfePKvFI+uFBeJI7kfn+ox2nT35atb0zpkhOfaaqeazVRWkwVsv7EqvCw+1SmTpVPKm8/TYhUhdd7TExVnpalxWxoE/f8Ot7sZadq2JaAjpwU8hCLYJt/mwcgTcPnvc2+XhdRTfPBFur3qvd6S1054aL3lTRHKnzit3InOGgt+G89c4UrOTRwO6NsQO03A4/7RQd+SJuE+LWequ6W/uLhUArqBWCRdpMhWf7YW/nOBG5QNqr6ylfkO0NfShVKCxerRlvYM07+oZaSpI1JLN1EqCciaz3qNEt0v2twt3BEE1M5uCC8++YVIoFCZJYZe24yc3BWYfHq7OamfWV21NO3omI6Ygn4KFGn6VfTL/ROIXG/j57g4/4Cl3ErvRn7GTyB+/TzUdSU7L8xJYGT+YLQlV2Xoms2L6ZdFrq4tcebjo0sZxigNDWEvB7Jxl6xLsFcKrwI0ibZuY0fV0gqgvWQjLNZEG5L5kRAgNIzFlrD8IUnxKqoM+ER6SED7xJEzvDIFbBPctx7ZPc5nYGlCod8b3fWbsxFoTUkAXkKqWj24nsG+PgBKuA8dllqBj06QGsUpC9dWYmCQ37qiD4Wvk7370S28q98PfcyvUYQoQK94efJ9Ca3OSh+FA5DCYuDMVTvEKe4kTrGz/62m2F62v75xuhNjMHJCNEiBKzVHyemB/9lqat1Ff46isN1uL38ESNjNRBzvOPw1owssFHZ9siZHfqbDRObKJuHpfIvaYimDtblCHJ5AdHjqJ9wTZ+FS9s3KQMCEeJSqymAHq9TdQCdS+7xd6Tn3YgPUpRDo6+lwe2FUOsJ4i/BlJfBBoE2noXDXk319djTKuSHQJ9tz6NUqN6e0hXLFNnOcyOWkPXVkveZDXd+nvJq2EZNr8U+VGSBcTFrAnq8yJzYzZ+ayuwIbCanQqLy7csq1qcVvbHtg/YAnBgYipl1aQeHv8eJh/VxsA6ZcLDFHSd0AMfX2UatSWA865hPDLefLN0HVUudL3xgGKk1LJPAyaZZALfhdeTYIF34+OrX4S0Nc+6DhgtgKghqVD8cjeJkbqaAhYMhBDIMk9TOts7amKD90P574uyfu25u3eYkcQw0ycyQwcYffdMh9BhjWrEcU4+VdMbVpIlWKixS6EAkbUZsuhxCn9h4O8INjJbyf7x5xmXErWy2kS3lUKOI7FK8XdQVY1uazf/fkFb3EqZvVjOqpB+YQzyTiBGIyspDalAlmJOJcWTnnPW+bhQa+jkdtJ7LrrntJzyqc+JlnTM3JW+oKAx73EH0meHW+MAVHzC2MhvFDJhBsskpaPt4N3LMDHYrawn8MtZxGXQpysy9MdrL5b8fQaAzNZKKT39DCPTpkenNf49+bWxVIEecFOIgJrnqmfEHEH7unf59A/qcWNc+FW28btp4Lv6YTHuFcP70RUO7FXuMOej5wRiDtY+2CmG8CcRJicHiT34YBtekqBfSjv8LRL7NE1qJMlQkPVNboDnuvIP/n4VSAlXQyCf41OQvq/y9diaVpqdXuCgt3nmJ6FF3myouMFs/Ln3uBgZfMi9brOIjPqqTAMqBRLEJ9fNI/QhP7dVuAUF61L7XFKVlUkQFYcEtrxl7lbqrFOxPGAJqyCmnyghjmnYlsMdlmz4VKXSZu7JQ8zopDlgR+Qn/T3BCBJlO7fvOpsPn6OiTu1utBxTzVIt3QzspvFm2MnqAywl8jKw6WQ8uyZ9ejcfkQrMiMS/fx+4605RzWRm+6PM+RiB2bRRHSqaiVyoQswxN+QS76hj4j9nuAnWLndGtBlwxS7gnGnXtPkfnvM1FOn+2PoWSdWMbmhxTI+0Tvt6hFyhZdxuEePUrQ1kt3XQEfUNxiaMQFIxOkvEuQ8hBugzPb/5jSaRIOd/12oW/OC10g4l/0SZ1nOylnJ6huzJdEPOnPrreCAGWNz6nffN6MhujUzS37028huirWcJERSYqob/GnLNdmbn+jrDppo6pJQddOQttTeT9y1B2qgk64VjBsD6LXEQo82PCEeyrW6E5ztr6r/tdzs06hTAyK52Yyga0CCyTMunrsTGUT1J9juY4jzx7jK+HIXOc6uP59GzxsO5uUXFTH+DPhTkZlGi3SrGJPfkqQtP+fA1lU8AJJetFraWGCa2U30MqZ6o9wY37fV8zy4NojMaEobf3BTf8a3qddjBZarNww6BZ2Tb11LO9ewRGx0NEyQ48ZHsI1zi5DubBCDiegcG1g4giD7d1uFqZtPcLW94TrOk+/4x2MbwWykjZ63ND1M+rOKcVHnDThJCy3yJZcAdIeaYCkrYZVSp76q2OKwX9Brawhd4334yJ6P0pk38Ip/MuIJDqIm3Kiu0AWZ1bVvddK0oBqr/FcpYYyAUdmvBcFOJoxfxMoKkm6iKyXgilzXo/JQ7lPl4SdBkk4No+ax+xmcQZpRqfW5dV36nB4Lj/Wia+DhYv58uh6fy6xUB1aDiaCLGYxky8L6HdkRm/cGckTmuR8vHoEQaoFj3WI+i+d2UmS4Vsnh7TpgO1uG4FCQxAafz9xhdl1kDYGPGkV4hCq1yV9Ime2CZYu52ZiEvsuUXwefaqnKmOCekSp2Ej6Ukxy5xeM778h3IWVwyH65/W0XbImSHASnalz7QT2XKhfJmTgBlRPowvewbvhNHpQGhMgtYaxr80ZtqtCOl4DQ2sxzPGXXWRBrdHB40guIwQs17oPHDpQ+ISmRxC1IkBTs4x9w2dfTyS7UWnPmj/6+qIDn5Pz72zUIR0Rj4btdFkvZKwGHUsZc7t9szVPtNo06N+hsEVTRa0FHVDi4bOGu2cjxdzhJbrm4py4m7Ims8wy6xyPdgVcboyf5Lmappu+boEkTuGIFKjX28ZXsYgbJ8nSX1yJ8lyhJHy88Gkkxy6YHhhwvRwf3e4MVNN9DtFacEuH8gGUjnDTGHhBKeNqRWbcWJRbShO6ckd28VxeJAh0DpUF6zOXg1BQ7hkvV1v2D0D9DjYHExPkQKxh6IZ/ATgTaplAQuJjOgeXIrnJXTxWoW92gUU7DLSJBEClzUdTlIQ0H3wGKWqMo7sCProgTewEeKllV8J3WbOZK2pJGR23xYHJ9r3agkQ4dG1IuAmBvaBLi2+8XCPoO5YXe9LlQ0gN7ocQv5pSiwHYg7giKJ+QTCuXMwIL++aF9n27ZTt3ZhfZsjgZL/0qbN1TyHofH152kEvsMvBN8NlGx3BC/J6EqAOIrbNGmgY0/2B/mBHFzwZNVdiLEh+yfNznFZatbf2M1Ik3pTOLggS2TIDn7ocYlFG+Taff0q5EYAhmW9rIr3hJmHgxu/mEYyb/rjAU+DKp7ZuTtTylz9CpzMPRuo9gO75XQCN5CvwRVc3rqhYy+maH9nh0KrYlZazG4TRNcWg5/mjYidnUgsC005zQg4rL6PaM7het7oSZKMAXcg5+GutzHASuQsx/cYzH7sCQ+EgdWtJmGwjVviBGO2zvn793pxaFgt0Q/HkNDHWIN68dTj5HnrTLFX2mMAkaifoHv2n23tiL+0ow3lug3dBAOr2J+PQ1t0vY7r2FXNdEInbq81atd2SKoUG7fIMn4bG2dRXa8HIRxMmnipyGj00qkejDI+pwb7iS7xwojmpsjIrKJncRx1L7soBpMRI0+0TEuTv87KnOO1NGDpFjqdlvOvEEzALtn1GkzLz0UDbo4xbg6Ry/FVAFozkimaOOITTTvlAJtb8oJ51z8BExztvm0kH0N/ZPLXvW0PFfYTXkX2U9NMElJlFq4dehgjkI7Ff1mnkVMuuIZQKuzOdK90jOpXpVHoJ/yFoh68B3C30wdowNSg19nSuuBEwKrpt9lUzjcRdrOIIwZJuw64W8VlFqjOO7h5oWJ0E9WlVAyM9QfT4UFFpF506UaO1Aa8H5FrvqGuB9vaFyizQKVmACxW6AlhAMUIfWIrjJoYnQX6TngGVCzvbvHap6o7fgEe1RoUZbHr0HCzF8MTla7esx0qchZ+UM5Yuy99bA0MPl1W3BJ9eMl4qbC8PhXprVHUrMreElb566u26z1+QGGyK3L1Ql4xvPa+TAR4U11nslJaGzMwaFHXGCC7mA5wF7LkdL+ZhIKNaXF40SBLUXsLxYS2oX9NU1xqpoJ8ZQDLHOofmEcUIrnRc442M5DHjg0PcFK0+8IswvvAv54G8TNR4+F5tdJYFJeASRU79ODFPTFPzom+Nhj1vMzJ46X0NgNMfi5z3gJb6uuLGNFSQijfK97Xe3HjMU0UI1HN/lWYCP7/IOhpUL0zvzAprwnZ3vG8GcOhHctXzS7kOns4OD2pmyns6p2r/+YF37+ejTWFBKtJwYjqPJDhFPJwpilMJ+apS0Mr7x5wPttKiLKdzm8K7lef960dfz95OWWN/clgF/uKTqW1LBr/rIxEYdjsBLMHXNhD+jBLNhJ/tWlRv3aLciGq8C8Uu4aqxlAjzh4NkIO0m2/FDzawym2+hQTUg5LdSkvGXRcviVVp5vh/TnkY2EWBoHlBaaqLUBQGjMZ5CmBt2T4gajsgmipkmbypy7H5iJ/OwVUYz/6T1WYymV+3DPsGJ9xQaHBcqZW3SuPC2mJpYih7wF11+Prwp2kG2uQZt/Arg+ZwY77sN87wa4n7IGLAOFWkecmDlMnOws4QxN1k5E5iBEAd6zbO0wTQRDSedUegpU1735lB+Q40+djbwh4j6sVYY8ByxF4PYA75gbN6NwwINDJByTXIId1G1LP1dZSBCd3mvh5iWuxSmrBBBNJ98tqIpf8N/236sKb2LOROQP3sFdZhZ4ff/GpZ5f0YJsWprllPlPeYgO7guoEhOzXGpmndT3ixIfbOIdbLQYx03lcqY/KoO5MJ/nqc7acLaWGWtyFMHLX29kulZ3DA9BQ6ka9l/UWqxnfqvoGEv8XiZG2nE37VkrRp083v8u19yZefth5O13kgjbWM3BE+AXnze9G2CUjVjBgFl4HlvY8UzN1YGEuz4J/uu9tawfsShLSDRGz7rsVdw23ZJKwX/Vkj65rKpnijC26xuX14zJewTiXwpHzaJqoJ/NcPMFoRJq3IPBdoPCrsrHHP0xfMU2oyHMCcdznUi74xWDkgNxdNm+LDrwDtsY8+Nqc5LCwHelp8mdFw7QjPZcaMOy0KGGYNcQPUeLkNSqEoWVRvlMSNGq45Ds24GlpR/8rVVDBh/Lqafbv/kmN0avKb2NuKgCYUfN7AvDYoB7DrjR0I7kTDCX7JU3IrKgWKhGT+ItriVTnE/P8oGlARc2qKSFLDvLtPSmS3H/g1tmq/XIm4O1tKaQ2pwNylv+0duGkxrtDTg46jyLNhXYtahw+ezEfq/UZ9Hvq2m5EhhU9zIPFRWWp9XByZTLXYEEx8kd8TC2bVUC3SSW0wR/6C2AdwFAgxG3Aow9TMJ7OCh8YFatPgJDp8zf85Xb7aTKqFcQm666AC+kYT7ZGPo6TNkDjx+WVj54YHb6Eu5rYKTs1gJ2y6JySXBWuiKsz0efY6apXTwbW95EQNiGvtOIJ1eGmE4nxwvaLVVcJAsfTOj+eqEgCCvXhkdCAUA+wtAI9vOHszN/aSvL8ONKspRTMIhyDzhzg64Oilhomw2waIz6KnLloLPpxfg/SX0To7VhE7lpwysw6ZLESMsXO2kkwnUokGDnmagP2V/vZxRH7REC3dkGXaVEHA9pDFQoe6EDiq7tA0DHtDamndC3B5CEs1LlnNjLYTobrnZWGLRtWidxJPzjE2AMWGgZim18XdjPxfTMlQFhP0gCKjNg+ej8d+xgE7BgKcliLk04g2qbpehGBuJsqEUOLYSl8spC6WYmX729ac93/Dfl9jCKlpPeGowrJ9xz1Bqgx/PQCz+X6msx6UQI0eTL6iCUc7hP1vO3Rlt5lA/R5xh4mnr20nvuugJQBVE4MTzCy+ipfb6+DOqTIXBQrtfOrIHQpTO6109pn0TUVPG5LRaFdGxJiFoXiW+Pn1oE/PSPvLQQdKbje1UWyxtq5KBQZtu84yhI2hdP1Ys2wj+EYujxnF9i4cgSS2hOjU0GKEeZB0gQiK2rf2ZQYaK9rDGHLtYXZYJFRLzZf1GvszDwC3p6i451ory5QyQ5xfhAkSHK4MQ6D97yGTgno/EmZHA50EID4+CkfaPBi4+P4aoTojrKzDESFQuBjrIi4XcldvaraJz62KhW7H6bMxvKvyIOLgdcYhekBIsL0+DKBVGQiNdjG46aF8vZ9Yepvkn9HoH7czWijPzXLDqdifH6UgdhDy1gWxuA6UYKJuJLv1j+uVhPsZyyEvCAqApa6pI5mcsmuvGMP1N2K8LM/h4llRvkX2xT0oHI+l3vjxuOu2LDuYETELyOe8aE8mhXkICfdR0wOrHHAA8AADyfxvo8XrIXG2bo3JMH4HZYmSgKO4awI1XFYxD5TaiTjM/CO1RcAql+0wemabpDOD9Mm5IfuV56X0YhXv62N77OcXMN8UXvPp+EPRzhLhC/pSy/l5PRcqRvEPSkgRwGWMVM1Acypo5/7e0MfW8gaS01wpdiU1FZ1GR02erKIH/v3DoQiLTt80VHyMtNTfhBd+asI2EkVj5zxJCI+GHsk1CVeG8HL+oZJyM8Y9r7OfwRojOSLNXtndl7OGs7unWheGPyOKgQLgyZiEURu2/4EvP3+M8ASqma70LawTk6okghNHOaZTitfVl/UdIISx4YVcZddo3TfpnWj4xGa1uQYsSIJK0PVEy95l01ZnnvmnNO34tAPmwRgOOmJVvtYpmROIiM4dci59cdFGyZaRbSR+EtI6EH4nk1Jfk7xPg3V4nOMivbXYvJuoPttj/sW1RbJBdfOMpmSLvr+xmBoisqB0Nt9HbrCp3/QkO/H79IYWm79XH1+v5P03XbC6sFjJYHJa+GDubR7mIoFevVU4oSXHv8aiRLJriUALXj3Iw/41urm0WwyHtzQ/W/f10DZ7T4nUYNZqYCvq5YvDDP5pki321XQt4OZERXaOuRLTKU0ffZb3tz+lmNfiIo7HOeXJV0tQfLUGMZGPMZweMLvB+K5ydogcWxEMazZqa3uR/CeHWim35Iy1+ENQgLXlbtGXrhF8/Oyu9GW92zdTp0C1wq3I4wHHCrq5bLaIKA+aV/H6oX5WvBqDCkKh928y3g75nAfZ9RnLoRCDuJYmAne/KjXQMVZi3StiOvmcD8fyPNhvAGEGm+B3UG8XKMkHtX3ihojTb9eZ/2jS07kIaTRMyHlxFhBQRDZMvWKzxMCByPEdDCbw7+IhWYuJLt/lSjiHHs6dH1LMKXomka23/GD3OicwSVML5NqAhKqsuScPfPk4xo6EuYwethh12JTUMa8Js+JDJzF15LympBu3T1UkcV4pGrvKlIpxjFuOXtYpwbHIJYzMHa9zuErpuNmfxvX+DhxXyncK2zob9722/MlC0xq5koQufEfh4I+87MzLbtj/XkkaBYBDIRQHntsN41mM0YZUYpzuSyD57V90hHrZCMzx2FBPwgK7BDVUEynx+9V1wTyin7QJNUQ2h7MJOxBalhxJzL5qgd8IXw8e9DsBnytCH5//Huet50Ho8FOCKhqncL3Z0883EfLzY6pj0/XVxzJ5EEV3dfnzLcL2N7OzGxT7tl3TnuxZ/y/JfgHj8XdnbJM+5rvmaPvt6/Z74+ab8j/id2PruGJ/6ab/z+BZMBF \ No newline at end of file diff --git a/docs/cassettes/semantic-search_8.msgpack.zlib b/docs/cassettes/semantic-search_8.msgpack.zlib new file mode 100644 index 000000000..786f820bc --- /dev/null +++ b/docs/cassettes/semantic-search_8.msgpack.zlib @@ -0,0 +1 @@ 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 \ No newline at end of file diff --git a/docs/docs/how-tos/memory/semantic-search.ipynb b/docs/docs/how-tos/memory/semantic-search.ipynb new file mode 100644 index 000000000..0c2a6e17f --- /dev/null +++ b/docs/docs/how-tos/memory/semantic-search.ipynb @@ -0,0 +1,424 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# How to add semantic search to your agent's memory\n", + "\n", + "This guide shows how to enable semantic search in your agent's memory store. This lets search for items in the store by semantic similarity.\n", + "\n", + "First, install this guide's prerequisites." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture --no-stderr\n", + "%pip install -U langgraph langchain-openai langchain" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import getpass\n", + "import os\n", + "\n", + "\n", + "def _set_env(var: str):\n", + " if not os.environ.get(var):\n", + " os.environ[var] = getpass.getpass(f\"{var}: \")\n", + "\n", + "\n", + "_set_env(\"OPENAI_API_KEY\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, create the store." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.embeddings import init_embeddings\n", + "from langgraph.store.memory import InMemoryStore\n", + "\n", + "# Create store with semantic search enabled\n", + "embeddings = init_embeddings(\"openai:text-embedding-3-small\")\n", + "store = InMemoryStore(\n", + " index={\n", + " \"embed\": embeddings,\n", + " \"dims\": 1536,\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now let's store some memories:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "# Store some memories\n", + "store.put((\"user_123\", \"memories\"), \"1\", {\"text\": \"I love pizza\"})\n", + "store.put((\"user_123\", \"memories\"), \"2\", {\"text\": \"I prefer Italian food\"})\n", + "store.put((\"user_123\", \"memories\"), \"3\", {\"text\": \"I don't like spicy food\"})\n", + "store.put((\"user_123\", \"memories\"), \"3\", {\"text\": \"I am studying econometrics\"})\n", + "store.put((\"user_123\", \"memories\"), \"3\", {\"text\": \"I am a plumber\"})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Search memories using natural language:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Memory: I prefer Italian food (similarity: 0.46482669521168163)\n", + "Memory: I love pizza (similarity: 0.35514845174380766)\n", + "Memory: I am a plumber (similarity: 0.155698702336571)\n" + ] + } + ], + "source": [ + "# Find memories about food preferences\n", + "memories = store.search((\"user_123\", \"memories\"), query=\"I like food?\", limit=5)\n", + "\n", + "for memory in memories:\n", + " print(f'Memory: {memory.value[\"text\"]} (similarity: {memory.score})')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Using in your agent\n", + "\n", + "Add semantic search to any node by injecting the store:" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "import uuid\n", + "from typing import Optional\n", + "\n", + "from langchain.chat_models import init_chat_model\n", + "from langchain_core.tools import InjectedToolArg\n", + "from langgraph.store.base import BaseStore\n", + "from typing_extensions import Annotated\n", + "\n", + "from langgraph.prebuilt import create_react_agent\n", + "\n", + "\n", + "def add_memories(state, *, store: BaseStore):\n", + " # Search based on user's last message\n", + " items = store.search(\n", + " (\"user_123\", \"memories\"), query=state[\"messages\"][-1].content, limit=2\n", + " )\n", + " memories = \"\\n\".join(item.value[\"text\"] for item in items)\n", + " memories = f\"## Memories of user\\n{memories}\" if memories else \"\"\n", + " return [\n", + " {\"role\": \"system\", \"content\": f\"You are a helpful assistant.\\n{memories}\"}\n", + " ] + state[\"messages\"]\n", + "\n", + "\n", + "def upsert_memory(\n", + " content: str,\n", + " *,\n", + " memory_id: Optional[uuid.UUID] = None,\n", + " store: Annotated[BaseStore, InjectedToolArg],\n", + "):\n", + " \"\"\"Upsert a memory in the database.\"\"\"\n", + " mem_id = memory_id or uuid.uuid4()\n", + " store.put(\n", + " (\"user_123\", \"memories\"),\n", + " key=str(mem_id),\n", + " value={\"text\": content},\n", + " )\n", + " return f\"Stored memory {mem_id}\"\n", + "\n", + "\n", + "agent = create_react_agent(\n", + " init_chat_model(\"openai:gpt-4o-mini\"),\n", + " tools=[upsert_memory],\n", + " state_modifier=add_memories,\n", + " store=store,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "What are you in the mood for? Since you love Italian food and pizza, would you like some recommendations for a delicious pizza or a different Italian dish?" + ] + } + ], + "source": [ + "async for message, metadata in agent.astream(\n", + " input={\"messages\": [{\"role\": \"user\", \"content\": \"I'm hungry\"}]},\n", + " stream_mode=\"messages\",\n", + "):\n", + " print(message.content, end=\"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Advanced Usage\n", + "\n", + "#### Multi-vector indexing\n", + "\n", + "Store and search different aspects of memories separately to improve recall or omit certain fields from being indexed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Configure store to embed both memory content and emotional context\n", + "store = InMemoryStore(\n", + " index={\"embed\": embeddings, \"dims\": 1536, \"fields\": [\"memory\", \"emotional_context\"]}\n", + ")\n", + "# Store memories with different content/emotion pairs\n", + "store.put(\n", + " (\"user_123\", \"memories\"),\n", + " \"mem1\",\n", + " {\n", + " \"memory\": \"Had pizza with friends at Mario's\",\n", + " \"emotional_context\": \"felt happy and connected\",\n", + " \"this_isnt_indexed\": \"I prefer ravioli though\",\n", + " },\n", + ")\n", + "store.put(\n", + " (\"user_123\", \"memories\"),\n", + " \"mem2\",\n", + " {\n", + " \"memory\": \"Ate alone at home\",\n", + " \"emotional_context\": \"felt a bit lonely\",\n", + " \"this_isnt_indexed\": \"I like pie\",\n", + " },\n", + ")\n", + "\n", + "# Search focusing on emotional state - matches mem2\n", + "results = store.search(\n", + " (\"user_123\", \"memories\"), query=\"times they felt isolated\", limit=1\n", + ")\n", + "print(\"Expect mem 2\")\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Emotion: {r.value['emotional_context']}\\n\")\n", + "\n", + "# Search focusing on social eating - matches mem1\n", + "print(\"Expect mem1\")\n", + "results = store.search((\"user_123\", \"memories\"), query=\"fun pizza\", limit=1)\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Emotion: {r.value['emotional_context']}\\n\")\n", + "\n", + "print(\"Expect random lower score (ravioli not indexed)\")\n", + "results = store.search((\"user_123\", \"memories\"), query=\"ravioli\", limit=1)\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Emotion: {r.value['emotional_context']}\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Override fields at storage time\n", + "You can override which fields to embed when storing a specific memory using `put(..., index=[...fields])`, regardless of the store's default configuration." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Expect mem1\n", + "Item: mem1; Score (0.3374698138722726)\n", + "Memory: I love spicy food\n", + "Context: At a Thai restaurant\n", + "\n", + "Expect mem2\n", + "Item: mem2; Score (0.3679447999059255)\n", + "Memory: The restaurant was too loud\n", + "Context: Dinner at an Italian place\n", + "\n" + ] + } + ], + "source": [ + "embeddings = init_embeddings(\"openai:text-embedding-3-small\")\n", + "store = InMemoryStore(\n", + " index={\n", + " \"embed\": embeddings,\n", + " \"dims\": 1536,\n", + " \"fields\": [\"memory\"],\n", + " } # Default to embed memory field\n", + ")\n", + "\n", + "# Store one memory with default indexing\n", + "store.put(\n", + " (\"user_123\", \"memories\"),\n", + " \"mem1\",\n", + " {\"memory\": \"I love spicy food\", \"context\": \"At a Thai restaurant\"},\n", + ")\n", + "\n", + "# Store another overriding which fields to embed\n", + "store.put(\n", + " (\"user_123\", \"memories\"),\n", + " \"mem2\",\n", + " {\"memory\": \"The restaurant was too loud\", \"context\": \"Dinner at an Italian place\"},\n", + " index=[\"context\"], # Override: only embed the context\n", + ")\n", + "\n", + "# Search about food - matches mem1 (using default field)\n", + "print(\"Expect mem1\")\n", + "results = store.search(\n", + " (\"user_123\", \"memories\"), query=\"what food do they like\", limit=1\n", + ")\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Context: {r.value['context']}\\n\")\n", + "\n", + "# Search about restaurant atmosphere - matches mem2 (using overridden field)\n", + "print(\"Expect mem2\")\n", + "results = store.search(\n", + " (\"user_123\", \"memories\"), query=\"restaurant environment\", limit=1\n", + ")\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Context: {r.value['context']}\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Disable Indexing for Specific Memories\n", + "\n", + "Some memories shouldn't be searchable by content. You can disable indexing for these while still storing them using \n", + "`put(..., index=False)`. Example:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "store = InMemoryStore(index={\"embed\": embeddings, \"dims\": 1536, \"fields\": [\"memory\"]})\n", + "\n", + "# Store a normal indexed memory\n", + "store.put(\n", + " (\"user_123\", \"memories\"),\n", + " \"mem1\",\n", + " {\"memory\": \"I love chocolate ice cream\", \"type\": \"preference\"},\n", + ")\n", + "\n", + "# Store a system memory without indexing\n", + "store.put(\n", + " (\"user_123\", \"memories\"),\n", + " \"mem2\",\n", + " {\"memory\": \"User completed onboarding\", \"type\": \"system\"},\n", + " index=False, # Disable indexing entirely\n", + ")\n", + "\n", + "# Search about food preferences - finds mem1\n", + "print(\"Expect mem1\")\n", + "results = store.search((\"user_123\", \"memories\"), query=\"what food preferences\", limit=1)\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Type: {r.value['type']}\\n\")\n", + "\n", + "# Search about onboarding - won't find mem2 (not indexed)\n", + "print(\"Expect low score (mem2 not indexed)\")\n", + "results = store.search((\"user_123\", \"memories\"), query=\"onboarding status\", limit=1)\n", + "for r in results:\n", + " print(f\"Item: {r.key}; Score ({r.score})\")\n", + " print(f\"Memory: {r.value['memory']}\")\n", + " print(f\"Type: {r.value['type']}\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 29d58b077..58489b12a 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -164,6 +164,7 @@ nav: - how-tos/memory/manage-conversation-history.ipynb - how-tos/memory/delete-messages.ipynb - how-tos/memory/add-summary-conversation-history.ipynb + - how-tos/memory/semantic-search.ipynb - Human-in-the-loop: - Human-in-the-loop: how-tos#human-in-the-loop - how-tos/human_in_the_loop/breakpoints.ipynb diff --git a/poetry.lock b/poetry.lock index d8f321637..e0a15a09c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -2862,30 +2862,30 @@ adal = ["adal (>=1.0.2)"] [[package]] name = "langchain" -version = "0.3.1" +version = "0.3.9" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "langchain-0.3.1-py3-none-any.whl", hash = "sha256:94e5ee7464d4366e4b158aa5704953c39701ea237b9ed4b200096d49e83bb3ae"}, - {file = "langchain-0.3.1.tar.gz", hash = "sha256:54d6e3abda2ec056875a231a418a4130ba7576e629e899067e499bfc847b7586"}, + {file = "langchain-0.3.9-py3-none-any.whl", hash = "sha256:ade5a1fee2f94f2e976a6c387f97d62cc7f0b9f26cfe0132a41d2bda761e1045"}, + {file = "langchain-0.3.9.tar.gz", hash = "sha256:4950c4ad627d0aa95ce6bda7de453e22059b7e7836b562a8f781fb0b05d7294c"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} -langchain-core = ">=0.3.6,<0.4.0" +langchain-core = ">=0.3.21,<0.4.0" langchain-text-splitters = ">=0.3.0,<0.4.0" langsmith = ">=0.1.17,<0.2.0" numpy = [ - {version = ">=1,<2", markers = "python_version < \"3.12\""}, - {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, + {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""}, + {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""}, ] pydantic = ">=2.7.4,<3.0.0" PyYAML = ">=5.3" requests = ">=2,<3" SQLAlchemy = ">=1.4,<3" -tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" +tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10" [[package]] name = "langchain-anthropic" @@ -2933,13 +2933,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.3.15" +version = "0.3.21" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "langchain_core-0.3.15-py3-none-any.whl", hash = "sha256:3d4ca6dbb8ed396a6ee061063832a2451b0ce8c345570f7b086ffa7288e4fa29"}, - {file = "langchain_core-0.3.15.tar.gz", hash = "sha256:b1a29787a4ffb7ec2103b4e97d435287201da7809b369740dd1e32f176325aba"}, + {file = "langchain_core-0.3.21-py3-none-any.whl", hash = "sha256:7e723dff80946a1198976c6876fea8326dc82566ef9bcb5f8d9188f738733665"}, + {file = "langchain_core-0.3.21.tar.gz", hash = "sha256:561b52b258ffa50a9fb11d7a1940ebfd915654d1ec95b35e81dfd5ee84143411"}, ] [package.dependencies] @@ -3035,7 +3035,7 @@ langchain-core = ">=0.3.0,<0.4.0" [[package]] name = "langgraph" -version = "0.2.52" +version = "0.2.54" description = "Building stateful, multi-actor applications with LLMs" optional = false python-versions = ">=3.9.0,<4.0" @@ -3045,7 +3045,7 @@ develop = true [package.dependencies] langchain-core = ">=0.2.43,<0.4.0,!=0.3.0,!=0.3.1,!=0.3.2,!=0.3.3,!=0.3.4,!=0.3.5,!=0.3.6,!=0.3.7,!=0.3.8,!=0.3.9,!=0.3.10,!=0.3.11,!=0.3.12,!=0.3.13,!=0.3.14" langgraph-checkpoint = "^2.0.4" -langgraph-sdk = "^0.1.32" +langgraph-sdk = "^0.1.42" [package.source] type = "directory" @@ -3053,7 +3053,7 @@ url = "libs/langgraph" [[package]] name = "langgraph-checkpoint" -version = "2.0.5" +version = "2.0.8" description = "Library with base interfaces for LangGraph checkpoint savers." optional = false python-versions = "^3.9.0,<4.0" @@ -3070,7 +3070,7 @@ url = "libs/checkpoint" [[package]] name = "langgraph-checkpoint-postgres" -version = "2.0.3" +version = "2.0.7" description = "Library with a Postgres implementation of LangGraph checkpoint saver." optional = false python-versions = "^3.9.0,<4.0" @@ -3078,10 +3078,10 @@ files = [] develop = true [package.dependencies] -langgraph-checkpoint = "^2.0.2" +langgraph-checkpoint = "^2.0.7" orjson = ">=3.10.1" -psycopg = "^3.0.0" -psycopg-pool = "^3.0.0" +psycopg = "^3.2.0" +psycopg-pool = "^3.2.0" [package.source] type = "directory" @@ -3106,7 +3106,7 @@ url = "libs/checkpoint-sqlite" [[package]] name = "langgraph-sdk" -version = "0.1.36" +version = "0.1.42" description = "SDK for interacting with LangGraph API" optional = false python-versions = "^3.9.0,<4.0" @@ -3115,7 +3115,6 @@ develop = true [package.dependencies] httpx = ">=0.25.2" -httpx-sse = ">=0.4.0" orjson = ">=3.10.1" [package.source] @@ -3586,7 +3585,6 @@ optional = false python-versions = ">=3.6" files = [ {file = "mkdocs-redirects-1.2.1.tar.gz", hash = "sha256:9420066d70e2a6bb357adf86e67023dcdca1857f97f07c7fe450f8f1fb42f861"}, - {file = "mkdocs_redirects-1.2.1-py3-none-any.whl", hash = "sha256:497089f9e0219e7389304cffefccdfa1cac5ff9509f2cb706f4c9b221726dffb"}, ] [package.dependencies] @@ -6964,7 +6962,6 @@ description = "Automatically mock your HTTP interactions to simplify and speed u optional = false python-versions = ">=3.8" files = [ - {file = "vcrpy-6.0.1-py2.py3-none-any.whl", hash = "sha256:621c3fb2d6bd8aa9f87532c688e4575bcbbde0c0afeb5ebdb7e14cac409edfdd"}, {file = "vcrpy-6.0.1.tar.gz", hash = "sha256:9e023fee7f892baa0bbda2f7da7c8ac51165c1c6e38ff8688683a12a4bde9278"}, ] @@ -7476,4 +7473,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "776ee42630769f08e3896338f18ec81830166695d32d2208dc31dedb22d3b22d" +content-hash = "cf18eed5e183fc4f7786d095540b6c9261e130750f2d1fcc427e08b78d522c61" diff --git a/pyproject.toml b/pyproject.toml index 31fe17172..c198ae5e4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,7 +34,7 @@ ruff = "^0.6.8" jupyter = "^1.1.1" [tool.poetry.group.test.dependencies] -langchain = "^0.3.1" +langchain = "^0.3.8" langchain-openai = "^0.2.0" langchain-anthropic = "^0.2.1" langchain-nomic = "^0.1.3"