Agentset.ai screenshot

What is Agentset.ai?

Agentset.ai is an open-source platform for building AI applications that retrieve accurate answers from your own data. It combines semantic search with retrieval-augmented generation (RAG), allowing you to set up production-ready systems without needing deep machine learning expertise. The tool runs locally, giving you control over your data and reducing dependency on external APIs. It's designed for developers and organisations who want to build chatbots, question-answering systems, or knowledge bases that work reliably with proprietary information.

Key Features

Local semantic search

Run search operations on your own infrastructure rather than relying on cloud services

RAG implementation

Combine document retrieval with language models to generate contextual answers

Open-source codebase

Full access to the source code for customisation and transparency

No expertise required

Pre-configured setup that works out of the box for common use cases

Data privacy

Keep sensitive documents and information on your own systems

Pros & Cons

Advantages

  • Free to use and modify with no licensing costs
  • Keeps your data local, avoiding exposure to third-party cloud services
  • Faster setup compared to building RAG systems from scratch
  • Suitable for production environments without requiring expensive infrastructure

Limitations

  • Requires some technical knowledge to deploy and maintain locally
  • Relying on open-source means community-driven support rather than dedicated customer service
  • Performance depends on your local hardware and configuration choices

Use Cases

Building internal chatbots that answer questions based on company documents and knowledge bases

Creating customer support systems that reference product documentation

Developing research tools that search and summarise academic papers or industry reports

Setting up question-answering systems for legal or compliance documents