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Build a RAG Chatbot
A conversational AI that answers questions by retrieving information from your own documents. Combines a language model with a vector database for grounded, accurate responses.
Intermediate4 layers · 11 tools
1
Framework
Orchestrates the RAG pipeline — document loading, chunking, retrieval, and response generation
2
Vector Database
Stores document embeddings for fast similarity search during retrieval
3
Document Processing
Extract text from PDFs, docs, and web pages into chunks for embedding
4
Chat UI
Frontend interface for the chatbot
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