RAG Knowledge Assistant
Ask questions about company policies and documentation. Answers include citations and confidence scores.
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Sample Questions
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How It Works
1. Retrieval: Your question is embedded and matched against document chunks using vector similarity.
2. Context: Top-k relevant chunks are passed to the LLM as context.
3. Generation: The LLM generates an answer based only on the provided context.
4. Citations: Source documents are included for verification.
Strict Mode: When enabled, low-confidence answers return "I don't know" instead of guessing.