The Toolkit for Building AI Chat and Search

Agentset helps developers build AI apps that deliver reliable answers. No RAG expertise needed.

Agentset Full RAG Interface
Agentset Extraction Interface
Agentset Chunking Interface
Agentset Retrieval Interface
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The Problem

RAG apps work in demos but…

When real users and data come into play they fall apart. Fixing those gaps takes months, and many rounds of reprocessing documents.


That's why we built Agentset. We spend time building deep optimizations so that you don't have to. Works out of the box and ready for production on day one.

5M+

Documents parsed and ingested

1,500+

Teams served with Agentset

Problem Statement

Features

Ship with confidence

Accurate Answers

Get superb accuracy on your data before any customizations. Industry setting benchmarks for MultiHopQA¹ and FinanceBench².

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Multimodal Support

Agentset natively works with images, graphs, and tables just like text. Answer questions from every part of your knowledge base.

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Citations

Agentset automatically cites the sources of your answers, allowing your users to inspect it.

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Filters

Agentset supports metadata filtering, allowing you to base answers on a subset of the data.

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Preview Links

Agentset allows you to capture external feedback quickly using a customizable chat interface.

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Developer Experience

Built for developers

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File Types

JavaScript and Python SDKs to upload your data with 22+ file formats supported.

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import { Agentset } from "agentset";

const agentset = new Agentset({ apiKey: "agentset_xxx" });
const namespace = agentset.namespace("ns_1234");

const ingestJob = await namespace.ingestion.create({
  payload: {
    type: "FILE",
    fileUrl: "https://example.com/document.pdf",
    fileName: "my-document.pdf"
  },
  config: {
    metadata: {
      foo: "bar"
    }
  }
});

MCP Server

Bring your knowledge base to external applications through our MCP server.

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AI SDK Integration

You can use Agentset with the AI SDK, making it easy to integrate into your own applications.

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Model Agnostic

Agentset lets you select your own vector database, embedding model, and LLM.

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Testimonials

Trusted by leading teams

There’s no room for error in Medicine. Agentset made our answers immediately more reliable and grounded in research.

Ahnaf Siddique

CTO, Mederva Health (YC W22)

We work with municipalities on content spanning hundreds of pages. We needed support for complex image search. Agentset worked out of the box.

Ronny Reitan

CTO, SustainBridge

When I used Agentset, it became clear that we could've saved weeks of work if we used it earlier.

Sven Malvik

Principal Architect, Vipps

We switched away from Algolia and got better search in less than hour of work.

Abdallah Abbas

CTO, Jibreel

Join the best companies and start using Agentset to have an AI your users can rely on.

Reliable answers. Fewer surprises.

With Agentset

One system out of the box

Agentic reasoning built-in
Without Agentset

You build it yourself

High learning curve for new developers
Complex setup, boilerplate heavy
Inconsistent retrieval quality
Extra integrations
No built-in citations
Host your own infrastructure
Build an ingestion pipeline

FAQs

Frequently asked questions

Agentset is the infrastructure for developers building production-ready RAG applications, powering search and Q&A inside their products. Most RAG systems work well in demos but struggle once real users and large document sets are involved. Agentset is designed for those production conditions, delivering reliable answers as data volume, usage, and complexity scale, all without forcing developers to build or maintain their RAG pipeline from scratch.