RAG. Optimized for maximum performance.
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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.
- Turnkey RAG: ingestion, chunking, embeddings, and retrieval
- Model agnostic: works with your choice of LLM, embeddings, and vector DB
- Chat playground with message editing and citations
- Production hosting with preview links and custom domains
- API + typed SDKs, OpenAPI spec
- Built-in multi-tenancy
- Built with TypeScript, Next.js, AI SDK, Prisma, Supabase, and Trigger.dev
The fastest way to get started with Agentset. Generous free tier with 1,000 pages and 10,000 retrievals. No credit card required.
- Sign up: https://app.agentset.ai/login
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:webUseful scripts:
bun db:studioโ open Prisma Studiobun dev:webโ run only the web app
If you find Agentset useful, please give the repo a star โ it helps a lot!
We <3 contributions big and small. Feel free to:
- Open an issue for bugs and feature ideas
- Submit a PR with focused changes
- Improve docs or examples
Not sure where to start? Check existing issues: https://github.com/agentset-ai/agentset/issues
MIT :)
Made with โค๏ธ by the Agentset team.