Kotaemon
Open-source conversational AI platform for document question-answering with customizable retrieval pipelines
- Also known as
- kotaemon
What is Kotaemon?
A RAG platform designed for both end users performing document analysis and developers building custom AI-powered QA systems. Offers a web-based interface with support for multiple LLMs, embedding models, and document formats.
Kotaemon pricing
We don't have Kotaemon's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
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- Web
- Self-hosted
Integrations (11)
Independently observed- Azure OpenAI•
- OpenAI
- AzureOpenAI
- Cohere
- Ollama
- Groq
- VoyageAI
- Docling
- Gradio
- LanceDB•
- GraphRAG•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Kotaemon FAQ
Common questions about Kotaemon, answered from independent, dated evidence.
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. It is indexed under RAG Tools.
What platforms does Kotaemon support?
Kotaemon supports the web, Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can Kotaemon be self-hosted?
Yes. Kotaemon can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
What does Kotaemon integrate with?
We have confirmed 7 integrations for Kotaemon, including OpenAI, Cohere, Ollama, Groq, VoyageAI, Docling and Gradio. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Is Kotaemon open source?
Yes. Kotaemon is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Kotaemon alternatives
Other rag tools we track, ranked by the same independent score.
- LightRAGA lightweight framework that combines knowledge graphs and vector embeddings for efficient information retrievalmedium · 53%
- RagieA managed AI context platform for agents, assistants, and applicationsmedium · 73%
- Amazon Bedrock Knowledge BasesA managed service connecting AI applications to enterprise data with automatic indexing and retrievalmedium · 74%
- PathwayA streaming data framework for building real-time AI and ML applicationslow · 35%
- Ragaslow · 32%
- RAGFlowAn open-source platform combining retrieval-augmented generation with AI agent capabilities to provide contextual support for language modelslow · 9%
Compare Kotaemon
Side by side against other rag tools, attribute by attribute, with a source on every value.
The vioscaleAI 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 |
|---|---|---|---|---|
| Release cadence | 97 | 0.08 | 7.9 | ✓ |
| Capabilities | 96 | 0.08 | 7.7 | ✓ |
| Stars | 83 | 0.05 | 3.9 | ✓ |
| Integrations | 29 | 0.05 | 1.6 | ✓ |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Development activity | 0 | 0.14 | 0.0 | ✓ |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 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
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source, Multimodal rag, Hybrid retrieval, Citation attribution, Llm provider agnostic, Reranking integration, Managed ingestion pipeline, Embedding provider agnostic, Multi hop agentic retrieval | mediumsource · 2026-10-05 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 9 | mediumsource · 2026-10-05 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-05 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-05 · 95% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fcinnamon%2Fkotaemon&per_page=100 · Last 12m: 0 | highsource · 2026-10-05 · 90% |
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