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Agentset

Open-source RAG infrastructure for building production-ready AI chat and search applications.

Source rating 5.0 (50) 18k views 18k/mo traffic 0 saves Freemium
Rag AI Chat Semantic Search
More categories (6)
LLM infrastructure open-source Vector database Document Retrieval Multimodal AI DEVELOPER TOOLS
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Free + from $49 USD per month

Verdict

A quick read before you dig into the full page.

Best if
You are software Developers and need: Building research-grounded medical AI assistants
Skip if
You need enterprise SLAs or a fully managed team plan right away
Pick this when
Freemium · Free + from $49 USD per month

Overview

Agentset is an open-source RAG (Retrieval-Augmented Generation) infrastructure designed to help developers build production-grade AI chat and search applications. It handles the complex aspects of RAG, including document extraction, chunking, hybrid search, and agentic reasoning, ensuring that AI apps remain reliable even with large-scale data and high user traffic. The platform is model-agnostic, allowing users to choose their own LLMs, vector databases, and embedding models. It supports over 22 file formats and multimodal data like images and tables, providing cited answers out of the box for sectors like medical AI, legal tech, and enterprise search.

Agentset screenshot

Best for

Short scenarios where Agentset tends to shine.

  • Building research-grounded medical AI assistants

    Best for Software Developers

  • Creating enterprise search systems for complex legal or municipal documents

    Best for AI Engineers

  • Replacing traditional keyword search with high-precision semantic search

    Best for CTOs

  • Developing AI chatbots with reliable answers for customer support

    Best for Enterprise Architects

Example outputs 1

Sample generations and before/after results for Agentset.

Agentset screenshot
Agentset screenshot

Access & connections

Where you can use Agentset, and what it plugs into.

Platforms

Web

Integrations

MCP

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Production-grade RAG infrastructure with hybrid search and reranking
  • Multimodal support for text, images, graphs, and tables
  • Model-agnostic architecture (choose your own LLM, Vector DB, and Embeddings)
  • Automatic source citations and metadata filtering
  • Developer-friendly SDKs and MCP server integration
  • Deep research and agentic reasoning capabilities

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Tools that often show up alongside Agentset in collections and comparisons.

FAQ 5

What is Agentset?
Agentset is an open-source RAG (Retrieval-Augmented Generation) infrastructure designed to help developers build production-grade AI chat and search applications. It handles the complex aspects of RAG, including document extraction, chunking, hybrid search, and agentic reasoning, ensuring that AI apps remain reliable even with large-scale data and high user traffic. The platform is model-agnostic, allowing users to choose their own LLMs, vector databases, and embedding models. It supports over 22 file formats and multimodal data like images and tables, providing cited answers out of the box for sectors like medical AI, legal tech, and enterprise search.
How to use Agentset?
Developers can start by signing up and using the JavaScript or Python SDKs to upload documents in various formats. After ingestion, you can configure your preferred LLM and vector database. The platform then allows you to query your data via API to receive accurate answers with automatic citations, or integrate it into external apps using the Model Context Protocol (MCP) server.
What is Agentset?
Agentset is the infrastructure for developers building production-ready RAG applications, powering search and Q&A inside their products while handling scaling and reliability.
What counts as a page for pricing?
Agentset counts every 1,000 characters of parsed text as a page, which may differ from the physical page count of a PDF or Word document.
Is Agentset model-agnostic?
Yes, Agentset lets you select your own vector database (like Pinecone or Qdrant), embedding model, and LLM (like OpenAI, Anthropic, or DeepSeek).
Agentset Free + from $49 USD per month
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