LangChain Zero to Mastery

LangChain Zero to Mastery is a practical repository for learning LangChain by building working examples.

It covers core patterns I use in real AI applications: chains, memory, document processing, RAG, custom tools, and agent workflows.

Topics

• LangChain basics and LLM interaction.
• Chains and memory for conversational applications.
• Document processing with RAG.
• FAISS-backed retrieval workflows.
• Custom agents and tool integration.
• Multi-step workflows that connect prompts, retrieval, tools, and state.

Technologies

Python, LangChain, FAISS, RAG, OpenAI-compatible APIs, Jupyter notebooks, and tool-calling patterns.