Agentset.ai
Open-source local Semantic Search + RAG for your data
- Open Source
- API, Web
- Data & AnalyticsSEOResearch
- Open source
- Free forever
What is Agentset.ai?
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
Ready to try Agentset.ai?
Pricing
Open Source
Free
Full access to Agentset.ai codebase, local deployment, semantic search and RAG capabilities, community support
Get started with Agentset.ai
Click through to Agentset.ai and start using it now.
- Open source
- Free forever