Agentset – Open-source RAG with vector DB, embeddings, and API built-in
Hi HN, We built one of the largest RAG set-ups that exist toady with Usul.ai (6B tokens). We started by using langchain and llamaindex, they were able to get us to a prototype in a couple of days, but took 3 months of taking pieces apart and optimizing them to make it perform well at such large scale. We put all of these learning into an MIT licensed open-source project — Agentset. Our goal to let people get production quality RAG w/o having to understand or optimize the underlying pieces. It supports 22 file formats, agentic search, deep research, citations, and a UI out of the box.…
Agentset – Open-source RAG with vector DB, embeddings, and API built-in launched on October 17, 2025 with 6 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more. - agentset-ai/agentset
Agentset is the open-source platform to build, evaluate, and ship production-ready RAG and agentic applications. It provides end-to-end tooling: ingestion, vector indexing, evaluation/benchmarks, chat playground, hosting, and a developer-friendly API. The fastest way to get started with Agentset. Generous free tier with 1,000 pages and 10,000 retrievals. No credit card required. Follow our complete guide: https://docs.agentset.ai/open-source/prerequisites # 1) Copy env and fill required values cp .env.example .env # 2) Install dependencies bun install # 3) Run database migrations (from the repo root) bun db:deploy # 4) Start the app bun dev:web Useful scripts: If you find Agentset useful,…from github.com
In the maker’s words, at launch
Hi HN, We built one of the largest RAG set-ups that exist toady with Usul.ai (6B tokens). We started by using langchain and llamaindex, they were able to get us to a prototype in a couple of days, but took 3 months of taking pieces apart and optimizing them to make it perform well at such large scale. We put all of…
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