#754 · Primary category: Education & Research

langchain-examples

chromadb jupyter-notebook langchain llm notebook openai pinecone python streamlit vectordb

A collection of apps powered by the LangChain LLM framework.

Project last updated:07/03/24

GitHub Stars

548

Forks

151

Contributors

1

License

MIT

Why we included this project

LangChain's docs explain what each piece does, but this repo shows how those pieces behave in a working app. Every subfolder is a small Streamlit app or notebook built around one pattern: summarizing documents with Chroma, answering questions over a PDF with Gemini, or pulling news through the Serper API. The examples are short enough to read in one sitting and run locally, which makes it easy to see how a vector store or an observability hook actually slots into a chain before you adapt the idea to your own project. The all-in-one app is the best place to start if you want several use cases in a single interface. Treat the collection as a learning reference rather than something to deploy as is.

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