VegaRAG is an open-source platform for building and deploying retrieval-augmented generation (RAG) AI chat agents powered by your own data. It supports both managed cloud and self-hosted AWS deployments, document upload, SQL querying, and streaming responses. Designed for enterprise developers and teams.
VegaRAG is an AI & ML product. Allowing organizations to deploy intelligent AI chat agents using their own data securely and flexibly. It is built as an open-source project for enterprise developers. VegaRAG is open source under the MIT license. The product ships for the web, the command line, and API, and it can be self-hosted.
VegaRAG first shipped in 2026. Development happens publicly on GitHub with 89 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — VegaRAG occupies a relatively distinct niche. Key capabilities include RAG chat agents, document upload, and SQL querying. It exposes integrations via a public API.
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