kotaemon vs rags

Common questions

What is the difference between kotaemon and rags?

kotaemon: An open-source RAG-based tool for chatting with your documents.. rags: Build ChatGPT over your data with natural language. See the comparison table for live GitHub stats and shared categories.

When should I choose kotaemon over rags?

Choose kotaemon over rags when License: kotaemon is Apache-2.0, rags is MIT; Both kotaemon and rags are RAG-based tools used for chatting with documents, differing in implementation but addressing similar use cases; Tags unique to kotaemon: llms, open-source; Also covers Developer Tools; kotaemon ships Docker support for self-hosted deployment; When you need to customize the file types you can process beyond PDFs, HTML, MHTML, and XLSX by opting for the full Docker version which includes additional packages from 'unstructured'.

When should I choose rags over kotaemon?

Choose rags over kotaemon when License: rags is MIT, kotaemon is Apache-2.0; Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment.; Both kotaemon and rags are RAG-based tools used for chatting with documents, differing in implementation but addressing similar use cases; Tags unique to rags: agent, chatgpt, llm, openai; Also covers AI Agents; When leveraging natural language queries over proprietary user data using OpenAI services.

When should I avoid kotaemon?

If you only need to process a limited set of file types (PDF, HTML, MHTML, XLSX) and prefer the smaller Docker image size, as the lite version lacks additional package dependencies. In environments with strict constraints on external dependencies where installing Docker or Python packages is not feasible.

When should I avoid rags?

Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs. Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns. If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging.

Is kotaemon or rags more popular on GitHub?

kotaemon has more GitHub stars (25,701 vs 6,549). Stars measure visibility, not whether either tool fits your constraints.

Are kotaemon and rags open source?

Yes - both are open-source projects on GitHub (kotaemon: Apache-2.0, rags: MIT).

Where can I find alternatives to kotaemon or rags?

GraphCanon lists graph-backed alternatives at kotaemon alternatives and rags alternatives (kotaemon markdown twin, rags markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, kotaemon or rags?

kotaemon: Steady. rags: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for kotaemon and rags?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kotaemon trust report; rags trust report.