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RAG CLI

The praisonai rag command group provides full RAG (Retrieval-Augmented Generation) functionality from the command line.

Full RAG CLI Documentation

See the complete RAG CLI reference with all commands, options, and examples.

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Quick Reference

CommandDescription
praisonai rag indexBuild or update an index from source documents
praisonai rag queryOne-shot question answering with citations
praisonai rag chatInteractive RAG chat session
praisonai rag evalEvaluate RAG retrieval quality
praisonai rag serveStart RAG as a microservice API

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Key Features

  • Hybrid Retrieval: Use --hybrid to combine dense vectors with BM25 keyword search
  • Reranking: Use --rerank to improve result quality
  • OpenAI-Compatible API: Use --openai-compat with rag serve for drop-in compatibility
  • Performance Profiling: Use --profile to measure and optimize performance
  • Config Files: Use --config for reproducible setups with YAML configuration

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Common Examples

# Index documents
praisonai rag index ./documents --collection myproject

# Query with hybrid retrieval
praisonai rag query "What are the key findings?" --hybrid --rerank

# Start interactive chat
praisonai rag chat --collection myproject --hybrid

# Start API server with OpenAI compatibility
praisonai rag serve --openai-compat --hybrid --port 8080