Practical overview
When it fits
Use it when document-grounded question answering, inspectable citations, and control over the retrieval and generation workflow matter.
Who it is for
- End users who need question answering over document collections
- Developers building or testing RAG pipelines
- Contributors extending the project
Documented uses
- Ask questions across one or more documents
- Retrieve supporting passages and inspect cited PDF locations
- Build a document-QA pipeline with configurable retrieval and generation
- Customize a Gradio-based interface for RAG applications
Requirements & limits
The project is presented as an open-source, self-hostable application. The repository also documents live demos, an online installation path, and a local RAG Colab notebook. Python 3.10 or newer is listed as a requirement.
- Hybrid full-text and vector retrieval with re-ranking is provided as the default RAG approach.
- Citations can include relevance scores and highlights in an in-browser PDF viewer.
- The interface supports figures, tables, and multimodal document parsing options.
- Local language models and several API-provider integrations are documented.
- The Gradio-based UI and retrieval-generation settings are configurable.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Compare options for Retrieval-augmented applications
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Kotaemon | Ask questions across one or more documents | Cloud, Self-hosted, Web | The project is presented as an open-source, self-hostable application. The repository also documents live demos, an online installation path, and a local RAG Colab notebook. Python 3.10 or newer is listed as a requirement. |
| Rag Powered AI Assistant Transforming Data Retrieval And Analysis Across The Web And Pdfs | Retrieve relevant passages from web and PDF content to answer a question. | Web | |
| LangChain in Supabase Edge Functions | Initialize and start a Supabase project locally. | Cloud, Server |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- Cinnamon/kotaemon · Official homepage title · retained in its source language

