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Key Features

Available Operations

Getting Started

Understanding and working with Documents in Agentset

Documents

Agentset

Build RAG applications with agentic superpowers

Introduction

Quickstart

Advanced code examples and workflows for Agentset

Examples

Documentation for the MCP Server Protocol

MCP Server

Understanding and working with Namespaces in Agentset

Namespaces

Understanding and working with Ingest Jobs in Agentset

Ingest Jobs

Understanding and working with Search in Agentset

Search

Agentset API Reference - Introduction

API Keys

What are Agentset's API rate limits?

Rate limits

Learn how to paginate through resources in the API.

All endpoints that list resources support pagination.

Pagination

Troubleshoot problems with this comprehensive breakdown of all error codes.

Agentset API returns machine readable error codes, human readable error messages and a link to the docs for more information

Errors

Retrieve a list of namespaces for the authenticated organization.

Retrieve a list of namespaces

Retrieve a namespace

Create a namespace for the authenticated organization.

Create a namespace.

Update a namespace for the authenticated organization. If there is no change, return it as it is.

Update a namespace.

Delete a namespace for the authenticated organization. This will delete all the data associated with the namespace.

Delete a namespace.

Retrieve a paginated list of ingest jobs for the authenticated organization.

Retrieve a list of ingest jobs

Retrieve an ingest job

Create an ingest job for the authenticated organization.

Create an ingest job

Delete an ingest job for the authenticated organization.

Delete an ingest job

Retrieve a paginated list of documents for the authenticated organization.

Retrieve a list of documents

Retrieve a document

Delete a document for the authenticated organization.

Delete a document

Complete retrieval pipeline for RAG with semantic search, filtering, and reranking

Search a namespace

Create AI Agents for knowledge retrieval in a few lines of code

AI Agents that go beyond simple RAG with planning and evaluation capabilities

Agentic RAG

Extract insights from large document sets and perform complex multi-step research

Deep Research

Get answers backed with cited sources that users can inspect

Citations

Retrieve the most relevant documents using state-of-the-art search algorithms

Semantic Search

Process and analyze large datasets in multiple formats

Scalability

Extract content, metadata, and structure from various file formats

Parsing

Break documents into smaller, structured pieces for better retrieval and reasoning

Chunking

Embed your knowledge base using advanced embedding models for efficient retrieval

Operation	Description
List	Retrieve all documents in a namespace
Get	Retrieve details of a specific document
Delete	Remove a document from your namespace

Get Started

Concepts

Documents

Key Features

Available Operations

Getting Started

Get Started

Concepts

​Key Features

​Available Operations

​Getting Started

Key Features

Available Operations

Getting Started