OpenLens AI provides a multimodal agent for conducting scientific research.
Open source
24 alternativesragapp/ragapp
ragapp helps enterprises use retrieval augmented generation with AI agents.
About ragapp/ragapp
ragapp is an open-source GitHub repository built to help enterprises deploy retrieval augmented generation (RAG) paired with AI agents. Constructed on the LlamaIndex framework, it is designed to be as straightforward to configure as OpenAI’s custom GPTs, while supporting deployment in a user’s own cloud infrastructure instead of relying on third-party hosted services.
The tool runs via a Docker container, with an admin UI accessible at http://localhost:8000/admin for post-launch configuration. It supports integration with hosted AI models including OpenAI and Gemini, as well as local models run through Ollama. Exposed endpoints include an admin interface, a public chat UI, and an API documentation portal, with chat and API features activating once setup is complete. Pre-built deployment options include Docker Compose setups (such as configurations with Ollama and Qdrant, or multiple RAGapps paired with a management UI) and Kubernetes, with custom Kubernetes deployment descriptors planned for future release. By design, ragapp does not include a built-in authentication layer, expecting users to route traffic through an external API gateway for access control.
Key features
- Open-source tool built on LlamaIndex for enterprise agentic RAG
- Deploys via Docker container for self-hosted cloud infrastructure
- Supports hosted models (OpenAI, Gemini) and local Ollama models
- Includes admin UI, chat UI, and API endpoints for use
- Offers Docker Compose and Kubernetes deployment options
Best for: Enterprises seeking to implement self-hosted agentic RAG with straightforward configuration and flexible model support.
Good for
- Simple configuration comparable to OpenAI custom GPTs
- Supports both hosted and local AI model options
- Flexible deployment options for self-hosted infrastructure
Watch out for
- No built-in authentication layer; requires external API gateway setup
- Access token-based authorization is not yet implemented, planned for future releases
- Custom Kubernetes deployment descriptors are not yet available
ragapp/ragapp at a glance
- Website
- github.com/ragapp/ragapp
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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ragapp/ragapp FAQ
What is ragapp used for?
ragapp is an open-source tool for enterprises to deploy retrieval augmented generation (RAG) paired with AI agents in their own infrastructure.
How do I deploy ragapp?
You can deploy ragapp via a Docker container, with additional Docker Compose and Kubernetes deployment options available.
Does ragapp support local AI models?
Yes, ragapp supports local models run through Ollama, in addition to hosted models from OpenAI and Gemini.
Does ragapp have built-in authentication?
No, ragapp does not include a built-in authentication layer by design; users must route traffic through an external API gateway for access control.
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