https://github.com/agentset-ai/agentset
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
https://github.com/agentset-ai/agentset
agentic-rag ai ai-agents ai-sdk chatbots embeddings genai llms memory memory-management rag vercel-ai-sdk
Last synced: 27 days ago
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The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
- Host: GitHub
- URL: https://github.com/agentset-ai/agentset
- Owner: agentset-ai
- License: mit
- Created: 2025-03-10T04:52:13.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2026-03-06T11:13:29.000Z (about 1 month ago)
- Last Synced: 2026-03-06T15:30:54.574Z (about 1 month ago)
- Topics: agentic-rag, ai, ai-agents, ai-sdk, chatbots, embeddings, genai, llms, memory, memory-management, rag, vercel-ai-sdk
- Language: TypeScript
- Homepage: https://agentset.ai
- Size: 4.14 MB
- Stars: 1,903
- Watchers: 13
- Forks: 166
- Open Issues: 10
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
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- Awesome-RAG-Production - Agentset
- awesome-production-agentic-systems - Agentset - ai/agentset.svg?cacheSeconds=86400) - Agentset is an open-source production-ready RAG platform with built-in agentic reasoning, hybrid search, and multimodal support. (Agent Development)
- Awesome-RAG - Agentset - source production-ready RAG platform with built-in agentic reasoning, hybrid search, and multimodal support. (🧰 Frameworks that Facilitate RAG / Implementation Resources)
- awesome-agents - Agentset - source production-ready RAG platform with built-in agentic reasoning, hybrid search, and multimodal support.  (Frameworks)
- awesome-ai-agents - agentset-ai/agentset - Agentset is an open-source platform for building, evaluating, and deploying production-ready Retrieval-Augmented Generation (RAG) and agentic applications with comprehensive tooling and developer-friendly features. (AI Agent Frameworks & SDKs / Multi-Agent Collaboration Systems)
README
Agentset
RAG. Optimized for maximum performance.
Docs ·
Report a bug ·
Feature request ·
Changelog
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.
## Features
- 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
## Getting Started
### Agentset Cloud
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
### Self-host Agentset
Follow our complete guide: https://docs.agentset.ai/open-source/self-hosting
## Quick Start (Local Development)
```bash
# 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:
- `bun db:studio` – open Prisma Studio
- `bun dev:web` – run only the web app
## Star Us
If you find Agentset useful, please give the repo a star — it helps a lot!
## Contributing
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
## License
MIT :)
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Made with ❤️ by the Agentset team.