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[Docs] Drop memory doc (#1986)

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Co-authored-by: vbarda <vadym@langchain.dev>
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William FH
2024-10-03 03:05:49 +00:00
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co-authored by vbarda
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docs/docs/tutorials/index.md
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@@ -53,10 +53,6 @@ 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
docs/docs/tutorials/memory/long_term_memory_agent.ipynb
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