RAG Pipeline Demo
Paste a document, ask a question, and watch the retrieval-augmented generation pipeline in action.
📄 Step 1 — Add Knowledge Base Documents
❓ Step 2 — Ask a Question
1. Embed query
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2. Vector search
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3. Retrieve chunks
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4. Build prompt
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5. Generate answer
📚 Retrieved Context
🤖 Generated Answer
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Production-ready Python: LangChain/LlamaIndex integration, PDF/Word ingestion, Pinecone/Chroma vector stores, and streaming responses.
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