Paid tool

Agentset

Open-source production RAG infrastructure for AI chat and semantic search.

Visitagentset.ai
Intro

What is Agentset?

Agentset is an open-source, production-grade Retrieval-Augmented Generation (RAG) infrastructure designed to build reliable AI chat and semantic search applications. Unlike standard setups that fall apart under real workloads, Agentset offers a model-agnostic, deeply optimized platform that manages full RAG pipelines out of the box, including chunking, document parsing, and advanced hybrid search with reranking. It provides developers with comprehensive tools to evaluate their setup against industry benchmarks, effectively serving as an practical reference for comparing high-performance options like the BAAI bge-reranker-v2-m3 vs Jina, context-aware reranking with Cohere reranker, or deciding between embedding models via an embedding leaderboard.

Agentset at a glance
Free, Pro from $49/mo24K monthly visitsPaid access
Pricing

Agentset Pricing Plans

Compare Agentset free options, Agentset paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Pro from $49/mo

$0 USD

For personal use and small projects. Includes 1,000 pages, 10,000 retrievals per month, and community support. (Connectors and custom integrations not included).

$49 USD per month

For production applications ready to scale. Includes 10,000 pages ($0.01 per additional page), unlimited retrievals, email support, and Deep Research. Connectors available at $100 each per month.

Custom

For organizations with custom workflows. Includes unlimited pages and retrievals, on-premise or BYOC deployment options, SOC 2, HIPAA, and GDPR reports, SSO, and dedicated engineering support.

Pricing updated:Jun 12, 2026

Features

Agentset AI Features

Production-grade full RAG pipeline (Extraction, Chunking, Retrieval, and Reranking)Multimodal support natively handling images, graphs, tables, and textModel-agnostic infrastructure allowing custom vector databases, embedding models, and LLMsAutomatic source citations for verifiabilityMetadata filtering to restrict answers to specific data subsetsModel Context Protocol (MCP) server support to bring knowledge bases to external apps
Pros & Cons

Agentset Pros and Cons

Pros

  • Works out of the box with minimal setup, saving weeks of development time
  • Highly scalable, already serving over 1,500 teams and parsing 5M+ documents
  • Supports 22+ file formats including complex multimodal data like images and tables
  • Flexible and model-agnostic, supporting major providers like OpenAI, Anthropic, Google AI, and DeepSeek

Limitations

  • The Free tier does not include external data connectors
  • Custom file formats and self-hosted/on-premise deployments are restricted to the Enterprise plan

Agentset FAQ

No, Agentset is a complete, production-ready RAG infrastructure. While frameworks help you build initial demos, Agentset provides a fully optimized, out-of-the-box system that handles complex reprocessing, hybrid search, and reliable retrieval under heavy enterprise workloads without requiring manual pipeline tuning.