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RAGConfig

Defined in the models module.
AI Agent Configuration for RAG pipeline. Attributes: top_k: Number of chunks to retrieve min_score: Minimum relevance score threshold max_context_tokens: Maximum tokens for context include_citations: Whether to include citations in result retrieval_strategy: Strategy for retrieval (basic, fusion, hybrid) rerank: Whether to rerank results rerank_top_k: Number of results after reranking template: Prompt template with {context} and {question} placeholders system_prompt: Optional system prompt for LLM stream: Whether to stream responses

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Properties

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int
No description available.
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float
No description available.
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int
No description available.
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bool
No description available.
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RetrievalStrategy
No description available.
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bool
No description available.
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int
No description available.
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Optional[str]
No description available.
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str
No description available.
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Optional[str]
No description available.
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bool
No description available.
  • from_dict: Create from dictionary.
  • to_dict: Convert to dictionary.

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Source

View on GitHub

praisonaiagents/rag/models.py at line 188

RAG Concept

RAG Overview

Chunking Strategies

Configuration Overview

Agent Config