Agentset
Agentset is a tool for developers building AI chat and search applications that need reliable answers from their data. It is presented as infrastructure for production-ready RAG applications, with a focus on helping teams work without RAG expertise.
Its feature set includes agentic search, extraction, chunking, and retrieval. Agentset says it can deliver accurate answers on a user’s data before any customizations and references benchmarks for MultiHopQA and FinanceBench. It supports multimodal content, working natively with images, graphs, and tables as well as text. The product also automatically cites answer sources, supports metadata filtering so answers can be based on a subset of the data, and offers a customizable chat interface for capturing external feedback.
For developers, Agentset provides JavaScript and Python SDKs and says it supports more than 22 file formats. The page shows use with the AI SDK, and it also offers an MCP server for bringing a knowledge base to external applications. It describes itself as model agnostic, letting users choose their own vector database, embedding model, and LLM. Names shown in the integration and model lists include xAI Grok, Google AI, Anthropic, OpenAI, Azure, Cohere, Pinecone, Qdrant, Qwen, Claude, Mistral, and DeepSeek.
The site includes Docs, Pricing, Enterprise, Resources, Company, and Login links, and it describes the product as open-source. It also states that it is ready in minutes and built for developers, with deployment and licensing details limited to those claims on the page.
Open SourceMITWebAPISelf-hosted
2.0kstars
181forks
5features
2025since
Overview
5 featuresAgentset is a RAG, search & retrieval project. It focuses on simplifying the development of reliable AI chat and search applications with RAG and multimodal capabilities. It is built as an open-source project for AI developers and product teams. Agentset is open source under the MIT license. It runs on the web and API, and it can be self-hosted.
Agentset first shipped in 2025. Development happens publicly on GitHub with 2k stars and 10 commits in the last 90 days. Key capabilities include RAG pipelines, multimodal support, and citations. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
- RAG pipelines
- Multimodal support
- Citations
- Metadata filtering
- Custom chat interface
Tags
rag-platformai-chatmultimodal-supportopen-source-ai
AI capabilities
TextImageStructured
Inference: Cloud APIWeights: Open
Built with & integrations
Framework
Next.js
Hosting
Vercel
AI providers
multiple
Connectors
API
Runs on
BrowserAPI-onlySelf-hosted
Detected from
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
- multiple
- bLangChain in the HTML · bLlamaIndex in the HTML
Trust & compliance
License
MIT
Verified signals
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about Agentset
- What does Agentset do?
- Agentset focuses on simplifying the development of reliable AI chat and search applications with RAG and multimodal capabilities. It is catalogued under RAG, search & retrieval on PulseGate.
- Who should use Agentset?
- Agentset is an open-source project built for AI developers and product teams.
- Is Agentset free?
- Yes — Agentset is open source under the MIT license and free to use.
- What platforms does Agentset run on?
- Agentset runs on the web and API. It can also be self-hosted.
- Is Agentset still active?
- The GitHub repository shows 10 commits in the last 90 days.
- What projects are similar to Agentset?
- Similar projects tracked by PulseGate include Agentkit, AI Agent, and AgentMeet.AgentkitAI AgentAgentMeetSee all 8 alternatives
- How long has Agentset been around?
- Agentset first shipped in 2025.
- Is Agentset open source?
- Yes — Agentset is open source under the MIT license, developed on GitHub.
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