Building Production-Grade RAG with Go and Gemini File Search: A Zero-Infrastructure Approach
This story is from 2026-09-22. It is preserved in the archive; the latest stories are on the live feed.
Originally published on tamiz.pro . Introduction The standard architecture for Retrieval-Augmented Generation (RAG) systems has ossified around a complex stack: an ingest pipeline, a heavy-duty vector database (Pinecone, Weaviate, Milvus), and an orchestration layer. This approach often introduces…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-09-22 18:01 · DEV Community — AI
Building Production-Grade RAG with Go and Gemini File Search: A Zero-Infrastructure Approach