What is Kotaemon?
A tool that enables users to interact with their documents through AI-powered retrieval and generation. Built for both individual users seeking answers from documents and developers building custom retrieval-augmented generation systems.
What Kotaemon does
The capabilities that matter for rag tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Hybrid retrieval
- ✓
- Reranking integration
- ✓
- Multi hop agentic retrieval
- ✓
- Embedding provider agnostic
- ✓
- LLM provider agnostic
- ✓
- Built in rag eval metrics
- -
- Citation attribution
- ✓
- Multimodal rag
- ✓
- Managed ingestion pipeline
- -
- Open source
- ✓
Platform & deployment
Independently observed- CLI
- macOS
- Web
- Linux
- Windows
- Self-hosted
Integrations (8)
Independently observed- OpenAI
- AzureOpenAI
- Cohere
- Ollama
- Groq
- VoyageAI
- Docling
- Gradio
Kotaemon alternatives
Other rag tools we track, ranked by the same independent score.
- RagieA managed service that automates document ingestion, parsing, and intelligent retrieval for AI applicationsmedium · 55%
- LightRAGlow · 16%
- Amazon Bedrock Knowledge BasesManaged retrieval-augmented generation service that connects AI applications to proprietary enterprise datamedium · 62%
- PathwayA streaming data framework for building real-time AI and ML applicationslow · 36%
- Ragaslow · 27%
- Contextual AIlow · 41%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Kotaemon, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 92 | 0.08 | 7.2 | ✓ |
| Release cadence | 97 | 0.05 | 5.1 | ✓ |
| Stars | 83 | 0.03 | 2.2 | ✓ |
| Integrations | 27 | 0.07 | 1.9 | ✓ |
| Dependent projects | 0 | 0.06 | 0.0 | - |
| Development activity | 0 | 0.09 | 0.0 | ✓ |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-08-24 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 25,715 | highsource · 2026-08-26 · 90% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source, Multimodal rag, Hybrid retrieval, Citation attribution, Llm provider agnostic, Reranking integration, Embedding provider agnostic, Multi hop agentic retrieval | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-26 · 95% |