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Basic RAG Chatbot
Foundational retrieval-augmented chatbot built to explore embeddings, document retrieval, and LLM grounding.
LangChainPineconePythonRAGEmbeddingsLLMs
Built a foundational Retrieval-Augmented Generation chatbot using LangChain and Pinecone to understand the mechanics of grounded AI systems. The project explored chunking, embeddings, retrieval quality, and answer generation backed by retrieved context rather than raw model priors. It served as a hands-on study of core RAG architecture patterns.