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Agentset

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An open-source platform for building and evaluating RAG and agentic applications. [#opensource](https://github.com/agentset-ai/agentset)

FreeFree tier
Inputs: imageOutputs: text
Type
Open Source
Company
Agentset
Visit Website GitHub (40 stars)

About Agentset

Agentset is an infrastructure platform for developers building production-ready RAG (Retrieval-Augmented Generation) and agentic applications. It provides building blocks for AI chat and search, including agentic search, extraction, chunking, and retrieval. Agentset supports multimodal inputs (images, graphs, tables), automatic source citations, metadata filtering, and preview links for feedback. It offers JavaScript and Python SDKs, handles over 22 file formats, and is model agnostic—allowing developers to choose their own vector database, embedding model, and LLM. The platform includes hybrid search with reranking, agentic reasoning, and Deep Research capabilities. Trusted by teams in legal, medical, and municipal sectors, Agentset aims to eliminate the complexity of building RAG from scratch, providing a system that works out of the box with minimal setup.

Key Features

Agentic Search and Extraction
Intelligent Chunking and Retrieval
Multimodal Support (images, graphs, tables)
Automatic Source Citations
Metadata Filters and Preview Links
Model Agnostic (choose vector DB, embedding, LLM)
Hybrid Search + Reranking
Deep Research Capabilities
JavaScript and Python SDKs
Support for 22+ file formats (PDF, DOCX, PPTX, MD, etc.)

Pros & Cons

Pros
  • High accuracy on benchmarks like MultiHopQA and FinanceBench
  • Out-of-box setup with minimal configuration
  • Multimodal and multi-format support
  • Automatic citations increase trust and verifiability
  • Model agnostic, avoiding vendor lock-in
  • Developer-friendly SDKs (JS, Python) and integrations (MCP, AI SDK)
  • Hybrid search + reranking for precision
  • Free tier available for small projects
Cons
  • Free tier limited to 1,000 pages and 10,000 retrievals per month
  • Pro plan charges $0.01 per additional page and $100 per connector
  • Dependence on third-party LLMs and vector databases
  • Advanced features like self-hosting and custom integrations require Enterprise plan
  • Not fully open source in terms of core infrastructure (cloud-based service)

Best For

Legal document search and Q&A over large corporaMedical research and evidence-based answer generationMunicipal content management with complex image searchE-commerce search replacement with better resultsInternal knowledge base for enterprisesBuilding production-ready RAG applications without RAG expertise

FAQ

What is Agentset?
Agentset is the infrastructure for developers building production-ready RAG applications, powering search and Q&A inside their products. It provides building blocks for AI chat and search with features like agentic search, extraction, chunking, retrieval, multimodal support, citations, and filtering.
What counts as a page?
Agentset counts every 1000 characters of parsed text as a page. This may differ from the number of pages in a PDF, PowerPoint, or Word document.
What is a connector?
Connectors are integrations with external data sources like Google Drive, SharePoint, or Notion that automatically sync content to your knowledge base.
Can I upgrade or downgrade my plan?
Yes, you can change your plan at any time. When upgrading, you'll have immediate access to new features. When downgrading, you'll receive a prorated bill based on your usage.
Do you offer discounts for startups or non-profits?
Yes, Agentset offers special pricing for qualifying startups and non-profit organizations. Contact them with details about your organization.