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

Co-authored-by: ccurme <chester.curme@gmail.com>
langchain-ai · Sep 27, 2024 · 947c74c · 947c74c
1 parent 509e2d2
commit 947c74c
Show file tree

Hide file tree

Showing 3 changed files with 1,068 additions and 0 deletions.
diff --git a/docs/docs/tutorials/index.md b/docs/docs/tutorials/index.md
@@ -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

diff --git a/docs/docs/tutorials/memory/long_term_memory_agent.ipynb b/docs/docs/tutorials/memory/long_term_memory_agent.ipynb
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
@@ -115,6 +115,8 @@ nav:
               - Reflexion: tutorials/reflexion/reflexion.ipynb
               - Language Agent Tree Search: tutorials/lats/lats.ipynb
               - Self-Discover Agent: tutorials/self-discover/self-discover.ipynb
+      - Memory:
+          - Long-term memory: tutorials/memory/long_term_memory_agent.ipynb
       - Evaluation & Analysis:
           - Chatbot Evaluation via Simulation:
               - Agent-based: tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb