langchain-ai-automation

LangChain-based agents, chains, and RAG pipelines for automating tasks that need language understanding.

What this covers

• Agents - LangChain agents with custom tools for web research, data analysis, and code execution
• Chains - LCEL-based chains for multi-step workflows (summarization, extraction, classification)
• RAG pipelines - Document ingestion, chunking, vector storage, and retrieval with FAISS/Pinecone
• Prompt management - Reusable prompt templates with few-shot examples and output parsers

Stack

• Python 3.10+
• LangChain / LangGraph
• OpenAI, Anthropic, Google AI
• FAISS, Pinecone, Weaviate
• Pydantic, pytest, ruff

Structure

agents/          # Agent implementations (one per use case)
chains/          # LCEL chain definitions
rag/             # Loaders, splitters, retrievers, vector store configs
tools/           # Custom tools for agents
prompts/         # Prompt templates and system messages
tests/           # Mirrored test structure
examples/        # Usage examples and notebooks

Setup

pip install -e .
cp .env.example .env  # add your API keys
pytest                 # run tests

License

MIT