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Agentset: AI Development Platform for RAG

Agentset helps software companies and enterprises implement retrieval-augmented generation (RAG) without building the entire pipeline from scratch. It is designed for teams needing to handle large document sets and multimodal data.

At a glance

Best for
Software developers, Enterprise AI teams, Companies building RAG applications, Legal and healthcare tech providers
Pricing
A free tier is available for small projects (1,000 pages). The Pro plan is $49/month for 10,000 pages. Enterprise pricing is custom and supports unlimited pages.
Key use cases
Large-scale Legal Corpus Analysis, Medical Research Grounding, Municipal Content Search, In-Product Q&A
Integrations
JavaScript SDK, Python SDK, MCP server
Official website
agentset.ai/
Screenshot of Agentset website

Agentset is an infrastructure platform for developers who want to add search and question-answering features to their products using RAG. The tool provides managed extraction, chunking, and retrieval workflows to help avoid building a custom pipeline.

It is designed for software companies and enterprises, including those in sectors like legal, healthcare, and municipal government where grounded answers and citations are required.

The platform supports various data types, including text, images, graphs, and tables, and provides SDKs for JavaScript and Python to assist with integration into applications.

Buyers should confirm deployment needs, as self-hosted options and custom integrations are available only on the Enterprise plan.

Key Features

Automatic Citations

Cites sources for AI-generated answers so users can verify the information.

Multimodal Support

Supports data ingestion and querying for images, graphs, and tables in addition to text.

Metadata Filtering

Supports filtering AI answers to a specific subset of data based on metadata.

Broad File Support

Supports over 22 different file formats for document ingestion.

Model Agnostic Configuration

Allows developers to select their own vector database, embedding model, and LLM.

Developer SDKs

Provides SDKs for JavaScript and Python for integration.

Use Cases

Large-scale Legal Corpus Analysis

Supporting search and retrieval of information across large legal datasets.

Medical Research Grounding

Building AI tools where answers are grounded in specific research.

Municipal Content Search

Managing image and text search across municipal data.

In-Product Q&A

Adding a search and question-answering interface into a software product.

Best For

Software developersEnterprise AI teamsCompanies building RAG applicationsLegal and healthcare tech providers

Integrations

JavaScript SDKPython SDKMCP server

Pricing

A free tier is available for small projects (1,000 pages). The Pro plan is $49/month for 10,000 pages. Enterprise pricing is custom and supports unlimited pages.

FAQ

What is Agentset used for?

Agentset is used by developers to build search and Q&A capabilities into their products using Retrieval-Augmented Generation (RAG).

Does Agentset support images and tables?

Yes, the platform features multimodal support that allows it to work with images, graphs, and tables as well as text.

What are the pricing options for Agentset?

Agentset offers a free tier for personal use, a Pro plan starting at $49/month, and custom pricing for Enterprise organizations.

Source category: Software Development

Source subcategory: AI Development Platform

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