Open Source
LangChain Handbook
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Our verdict
We have not reviewed LangChain Handbook yet
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From the listing
About LangChain Handbook
A collection of Jupyter Notebooks that teach LangChain usage with Pinecone vector databases. It provides hands-on examples for building retrieval-augmented generation (RAG) applications. The handbook is maintained by the Pinecone community and has over 3,000 GitHub stars.
Best for
Developers learning LangChain and Pinecone for RAG applications
Use cases
- Learning LangChain fundamentals through interactive notebooks
- Building RAG pipelines with Pinecone as the vector store
- Prototyping LLM applications with step-by-step code examples
Notes
3,024 stars on GitHub. Last updated 2026-05-21. Licensed MIT.
Pros
- Free and open-source with practical, runnable examples
- Well-structured for beginners to intermediate developers
- High community trust indicated by 3,024 stars
Cons
- Tied exclusively to Pinecone vector database
- Jupyter Notebook format not directly deployable to production
- Requires local setup and API keys for full use
Key facts
What we have checked
- GitHub stars
- 3,044
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How LangChain Handbook is growing
3,024 to 3,044
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
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