thinkany-ai/rag-search

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1180 stars · 157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A RAG (retrieval-augmented generation) search API service built with FastAPI by the ThinkAny AI search engine team. It combines web search (via Serper/Google), OpenAI embeddings, Zilliz vector storage, and optional reranking/filtering to return relevant search results for RAG pipelines.

Use cases

• build a rag search api for my ai search engine
• retrieve web search results with embeddings and reranking
• self-host a retrieval service backed by zilliz vector database
• add google search plus semantic filtering to my llm app
• serve rag search results over a rest api

When to choose

• you want a ready-made RAG search pipeline combining web search, embeddings, and reranking
• you use Zilliz/Milvus and OpenAI-compatible embedding models
• you need a simple FastAPI-based REST endpoint to plug into an AI search app

When to avoid

• you need a full RAG framework with document ingestion and chunking
• you want a managed service rather than self-hosting with your own API keys
• you don't use OpenAI-compatible models or Zilliz/Milvus

Facets

service · maturity active

rag search-engine api-framework llm-inference web-scraping artificial-intelligence apis python self-hosted fastapi serper zilliz milvus reranking ai-search embeddings openai retrieval-augmented-generation search docker web-server

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For agents

markdown · JSON · MCP: product_card(name="thinkany-ai/rag-search")