agentset
An open-source RAG platform supporting multiple file formats, built-in citations, and deep research capabilities.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 2.0k
- Source
- mcp-github
- Repository
- github.com/agentset-ai/agentset
Overview
Agentset is an open-source RAG platform offering end-to-end tools from data ingestion to vector indexing, evaluation benchmarks, chat playground, production hosting, and developer-friendly APIs. It supports over 22 file formats, includes built-in citation features, and enables deep research. By integrating various LLMs, embedding models, and vector databases, Agentset helps developers quickly build and deploy RAG applications. Ideal for developers handling large volumes of text data who want to leverage AI for efficient retrieval and analysis.
Capabilities
- ▪Multi-file format support
- ▪Built-in citation functionality
- ▪Deep research capability
- ▪Vector indexing
- ▪Production environment hosting
- ▪Developer-friendly API
Use cases
Setup
1) Copy .env.example to .env and fill in required values; 2) Install dependencies: bun install; 3) Run database migration: bun db:deploy; 4) Start the application: bun dev:web.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How to get started with Agentset?
You can start by signing up for Agentset Cloud or self-hosting the platform.
What file formats does Agentset support?
Supports over 22 file formats, including PDF, DOCX, and more.
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