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.
Documents parsed and ingested
Teams served with Agentset

Features
Ship with confidence
Accurate Answers
Get superb accuracy on your data before any customizations. Industry setting benchmarks for MultiHopQA¹ and FinanceBench².
Learn moreMultimodal Support
Agentset natively works with images, graphs, and tables just like text. Answer questions from every part of your knowledge base.
Learn moreCitations
Agentset automatically cites the sources of your answers, allowing your users to inspect it.
Learn moreFilters
Agentset supports metadata filtering, allowing you to base answers on a subset of the data.
Learn morePreview Links
Agentset allows you to capture external feedback quickly using a customizable chat interface.
Learn moreDeveloper Experience
Built for developers
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"
}
}
});AI SDK Integration
You can use Agentset with the AI SDK, making it easy to integrate into your own applications.
Learn moreModel Agnostic
Agentset lets you select your own vector database, embedding model, and LLM.
Learn moreTestimonials
Trusted by leading teams
Join the best companies and start using Agentset to have an AI your users can rely on.
Reliable answers. Fewer surprises.
One system out of the box

You build it yourself











