docs: add long-term memory tutorial (#1850)

Co-authored-by: ccurme <chester.curme@gmail.com>
This commit is contained in:
Vadym Barda
2024-09-27 08:26:57 -04:00
committed by GitHub
co-authored by ccurme
parent 509e2d2207
commit 947c74c10d
3 changed files with 1068 additions and 0 deletions
+4
View File
@@ -53,6 +53,10 @@ Learn from example implementations of graphs designed for specific scenarios and
- [Language Agent Tree Search](lats/lats.ipynb): Use reflection and rewards to drive a tree search over agents
- [Self-Discover Agent](self-discover/self-discover.ipynb): Analyze an agent that learns about its own capabilities
#### Memory
- [Long-term memory](memory/long_term_memory_agent.ipynb): Build an agent that can store, retrieve, and use memories to enhance its interactions with users.
#### Evaluation
- [Agent-based](chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb): Evaluate chatbots via simulated user interactions
File diff suppressed because one or more lines are too long