A production-oriented RAG document chatbot using LangChain, Qdrant, and LLMs for intelligent document search and question answering. Supports document ingestion, chunking, embeddings, vector retrieval, contextual response generation, source-aware answers, and scalable semantic search across PDF and text collections.
python artificial-intelligence chatbots e-commerce-website langchain qdrant-vector-database llm-agents rag-pipeline support-assistant
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Updated
Oct 9, 2026 - Jupyter Notebook