thinkany-ai/rag-search
A FastAPI-based RAG (Retrieval-Augmented Generation) search API that combines web search with vector-based semantic retrieval.

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This repository provides a RAG Search API that retrieves relevant documents by combining web search results with a vector database (Zilliz). It uses OpenAI embeddings to encode queries and content, applies reranking and filtering to improve result quality, and serves results via a FastAPI endpoint. The system integrates with Serper for Google search and supports configurable scoring thresholds.