Agentset

What is Agentset?

Agentset is a managed retrieval-augmented generation platform that handles the parts of a RAG stack developers usually build themselves: file parsing, chunking, embeddings, vector storage, hybrid search and reranking. You upload content in more than 22 file formats through JavaScript or Python SDKs, then query it with search or an agentic mode that plans and reasons, and every answer carries citations. It supports metadata filters, multimodal content such as images and tables, chat and search playgrounds, preview links for feedback, an MCP server and an AI SDK integration. You can pick your own vector database, embedding model and LLM. The Free plan includes 1,000 pages and 10,000 retrievals, Pro costs $49 per month with 10,000 pages and unlimited retrievals, and Enterprise is custom with self-hosting.

Use cases

• Add RAG search to an app
• Build chat over private documents
• Return answers with citations
• Search PDFs, tables and images
• Sync Google Drive or Notion content
• Expose a knowledge base over MCP

Who it's for

• Application developers
• AI engineers
• Product teams
• Enterprises

Why use Agentset

• You skip months of tuning parsing, chunking and reranking, since those steps are already built.
• Citations let end users check the source behind each answer.
• SDKs and an MCP server fit into existing apps and AI tools without custom glue code.
• Model-agnostic setup means you keep control of your vector store, embeddings and LLM.
• A Free plan lets you test on your own data before paying.

Agentset features

• Document ingestion for 22+ file formats
• Hybrid search with reranking
• Agentic mode that plans and reasons
• Automatic citations and sources
• Metadata filtering
• Multimodal support for images, graphs and tables
• JavaScript and Python SDKs
• MCP server and AI SDK integration
• Chat and search playgrounds with chunk viewer
• Bring your own vector database, embedding model and LLM
• Connectors to Google Drive, SharePoint and Notion

Agentset integrations

• Google Drive
• SharePoint
• Notion
• AI SDK
• Model Context Protocol

How to get started with Agentset

1. Create an account and a namespace for your knowledge base.
2. Upload files or connect a source such as Google Drive through the SDK or dashboard.
3. Agentset parses, chunks and indexes the content.
4. Query it with search or the agentic mode from your app or the playground.
5. Show answers with their citations, and filter by metadata when needed.

Agentset limitations

• Free plan caps at 1,000 pages and 10,000 retrievals a month
• Connectors are not included on Free and cost $100 each on Pro
• Self-hosted deployment is an Enterprise feature on the pricing page
• A page is counted as every 1,000 characters of parsed text

Agentset pricing

Yes, Agentset has a free plan. Paid plans start at $49 per month, according to the official pricing page on 24 Oct 2026.

Agentset plans

• Free

  $0

  Forever free

  • 1,000 pages
  • 10,000 retrievals
  • Community support

• Pro

  $49/month

  • 10,000 pages
  • $0.01 per additional page
  • $100 per connector
  • Unlimited retrievals
  • Email support

• Enterprise

  Custom

  • Unlimited pages and retrievals
  • On-premise or BYOC
  • SOC 2, HIPAA and GDPR reports
  • Single sign-on
  • Dedicated engineering support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Agentset alternatives

The main Agentset alternatives listed on Debuly are Vectara, Cohere, LLM App, Singlebase, Contextual AI and Supermemory. The table compares pricing and platforms; order is A–Z.

1. 

   Cohere

   Enterprise AI company offering Command, Embed and Rerank models by API, the North agent platform and private deployments.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Cohere (official site)
2. 

   Contextual AI

   Platform for building document-grounded AI agents, plus parse, rerank, generate and evaluation APIs for RAG pipelines.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit Contextual AI (official site)
3. 

   LLM App

   No-code RAG server by Pathway that indexes your documents into a vector database and keeps chat and REST answers current as files change.

   Developer platformsResearch and searchAutomation and agents
   Open sourceVisit LLM App (official site)
4. 

   Singlebase

   Backend platform for apps and AI agents with a JSON document database, vector search, identity, storage and scoped agent keys.

   Developer platformsAutomation and agentsResearch and search
   PaidVisit Singlebase (official site)
5. 

   Supermemory

   Memory and context API for AI agents with user profiles, a memory graph, retrieval and connectors, billed by usage.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Supermemory (official site)
6. 

   Vectara

   Agentic AI and RAG platform that ingests enterprise data and answers with grounded, traceable responses.

   Automation and agentsDeveloper platformsResearch and search
   Free trialVisit Vectara (official site)

Agentset FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from agentset.ai · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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