Agentset
APIs for building AI chat and search
FreeOpen Source2,324 impressions#17 of its week
Agentset offers open-source RAG infrastructure with APIs for AI chat and search, providing hybrid, multimodal retrieval, citations and model-agnostic integration.
- for
- Developers building production-grade AI search, Q&A and chat applications.
- pricing
- freemium
- license
- MIT
Key features
- Hybrid Search & Reranking — Combines vector and keyword search with reranking for precise results.
- Multimodal Support — Handles images, graphs, tables and text in the same knowledge base.
- Automatic Citations — Provides source references for each answer, enabling user verification.
- Metadata Filters — Allows answers to be scoped to subsets of data via metadata filtering.
- SDKs & File Types — JavaScript and Python SDKs support ingestion of 22+ file formats.
- Model-Agnostic — Works with any LLM or embedding model, including OpenAI, Anthropic, Cohere, etc.
Use cases
- Enterprise search over large legal or medical document collections.
- Customer support chat that returns answers with source citations.
- Internal knowledge bases that include images, tables and PDFs.
- Building AI assistants that require multi-hop reasoning across documents.
Agentset pricing
- Free$01,000 pages · 10,000 retrievals · Managed deployment · Community support
- Pro$49/month10,000 pages · Unlimited retrievals · Email support · $0.01 per additional page
Agentset vs alternatives
| Agentset |  LangChain |  CrewAI | .jpg1690446595296.png?width=64) Dify.AI |  PocketBase | |
|---|---|---|---|---|---|
| Best for | Production-ready RAG APIs | LLM app framework | Multi-agent AI platforms | LLMOps platform | Embedded backend database |
| Pricing | Freemium | Free | Subscription | Free | Free |
| DevHunt upvotes | 0 | 0 | 0 | 30 | 0 |
| Launched | Feb 2026 | — | — | Jan 2023 | — |
- Agentset vs LangChain: LangChain is a developer-first framework for building LLM apps, requiring you to assemble components yourself.
- Agentset vs CrewAI: CrewAI focuses on multi-agent AI workflows, whereas Agentset provides a ready RAG backend with search and citations.
- Agentset vs Dify.AI: Dify.AI is an open-source LLMOps platform offering UI and workflow tools, while Agentset delivers a production RAG API layer.
- Agentset vs PocketBase: PocketBase is a lightweight backend database, not a specialized RAG or search service like Agentset.
Agentset FAQ
What is Agentset?+
Agentset is an infrastructure platform for developers to build production-ready RAG applications, providing search and Q&A APIs that scale with data volume and usage.
Who is Agentset for?+
It targets developers and teams building AI-driven search, chat or knowledge-base products that need reliable, scalable retrieval.
Can large enterprises use Agentset?+
Yes, the Enterprise plan offers unlimited pages, on-premise deployment, compliance reports and dedicated engineering support.
Is Agentset a framework like LangChain or LlamaIndex?+
No, Agentset is a hosted RAG infrastructure rather than a code-first framework; it provides ready-to-use APIs and managed services.
Can Agentset work with my existing stack and infrastructure?+
Agentset is model-agnostic and lets you choose your vector database, embedding model and LLM, integrating via its JavaScript or Python SDKs.
What counts as a page?+
A page equals 1,000 characters of parsed text, regardless of the original document format.
Summarized by DevHunt from agentset.ai · Oct 5, 2026. Details may change; check the official site.
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