LangChain examples

This folder contains examples demonstrating application development with LangChain.

Requirements

• Python 3.10+
• An OpenAI API key set as an environment variable (OPENAI_API_KEY)

Examples

• basic_llm_interaction/: Setting up a basic LLM invocation.
• structured_output/: Binding an output schema so the model returns a validated object.
• tool_calling/: Equipping LangChain chains with tool call support.
• conversational_memory/: Storing and managing conversational history.
• context_compression/: Compressing input documents to retrieve relevant parts.
• rag_with_vectorstore/: End-to-end RAG system with a local vector store.

Running the examples

Each example is in its own folder and contains a README.md with instructions on how to run it.