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Microservice

RAG Service

Retrieval-augmented generation as a service

A drop-in RAG backend on Bun + Elysia with Google Gemini. Turn any document corpus into a searchable, answerable knowledge base for your products.

What you get

  • Document ingestion and chunking
  • Vector embeddings and semantic similarity search
  • RAG queries with context retrieval
  • Collection management and multi-tenant isolation