ggozad/haiku.rag
Agentic RAG system combining vector and full-text search with LLM-powered question answering across documents.

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Provides hybrid search combining vector and full-text retrieval with reciprocal rank fusion, reranking, and citation-based question answering. Supports multimodal and cross-modal retrieval where image and text embeddings live in the same space. Offers a Pydantic AI-based agent framework for analytical tasks, conversational memory, and an MCP server to expose RAG tools as callable functions for AI assistants.