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This article introduces how to build a document Q&A application using Streamlit, LangChain, Groq, and ChromaDB, implementing the complete RAG workflow including PDF upload, text extraction, vector embedding, semantic retrieval, and LLM generation.
Section 01
This article introduces how to build a document Q&A application using Streamlit, LangChain, Groq, and ChromaDB, implementing the complete RAG workflow including PDF upload, text extraction, vector embedding, semantic retrieval, and LLM generation.
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