This app analyzes an uploaded image and returns a descriptive text response.
Agentset:
The open-source platform to build AI apps that deliver reliable answers. Production-grade RAG in minutes, no expertise needed.
About Agentset:
Agentset is open-source infrastructure for developers adding RAG-based chat and search to their products. It provides ingestion, chunking, retrieval and agentic search components, with support for text plus images, graphs and tables, automatic source citations, and metadata filtering. Developers can upload data with JavaScript and Python SDKs, connect a knowledge base through an MCP server and AI SDK integration, and select their own vector database, embedding model, and LLM.
Key features
- Automatic citations linking answers to source documents
- Metadata filtering to limit answers to data subsets
- Handles images, graphs, and tables alongside text
- JavaScript and Python SDKs supporting 22+ file formats
- MCP server to connect knowledge base to external apps
- Choice of vector database, embedding model, and LLM
Best for: Developers building RAG-based search and Q&A features inside their products.
Good for
- Open-source with a public code repository
- Works with user-selected vector databases, embedding models, and LLMs
- Provides JavaScript and Python SDKs plus MCP server and AI SDK integration
Agentset: at a glance
- Website
- agentset.ai
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Agentset: FAQ
What is Agentset?
Agentset is infrastructure for developers building RAG applications that power search and Q&A inside their products, without building or maintaining the RAG pipeline from scratch.
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