This is my central hub for experimenting with LLM Orchestration. This repository is a collection of projects, prototypes, and agents built using the LangChain ecosystem and the stateful, cyclic power of LangGraph.
This repo serves as a playground for building everything from simple RAG (Retrieval-Augmented Generation) pipelines to complex, autonomous multi-agent systems.
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LangChain: Used for building linear chains and modular components.
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LangGraph: Used for building complex, stateful workflows with loops, cycles, and conditional logic.
- LangChain-Rag: A standard RAG system to load documents and use them as external source of knowledge.
- LangGraph-Reflection-Agent: A reflection-style agent architecture built with LangGraph that improves output quality through self-critique and refinement.
Built with ❤️ and a lot of tokens.