RAG • AI Agent SDK

PraisonAI RAG – Retrieval Augmented Generation Module.

rag

PraisonAI RAG – Retrieval Augmented Generation Module.

This module provides a thin orchestration layer over Knowledge for RAG workflows. Knowledge handles indexing/retrieval; RAG adds answer generation with citations.

Usage:

from praisonaiagents.rag import RAG, RAGConfig, RAGResult, Citation

# With existing Knowledge
rag = RAG(knowledge=my_knowledge)
result = rag.query("What is the main finding?")
print(result.answer)
for citation in result.citations:
    print(f"  [{citation.id}] {citation.source}")

All imports are lazy to avoid performance impact when RAG is not used.

Import

from praisonaiagents import rag

Constants

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