Que fait Chat with private document collections through Kotaemon ?
Run a self-hosted Kotaemon document QA workflow so agents can index private files, ask grounded questions, and return cited answers.
Prerequisites
Docker or Python environment, Kotaemon, document collection to index, configured LLM provider or local model such as Ollama
Installation
Use the upstream install or setup path that matches your environment:
- Docker: optional, if you install with Docker
- docker run \
- docker run <...> ghcr.io/cinnamon/kotaemon:main-ollama
- docker run <...> ghcr.io/cinnamon/kotaemon:main-lite
Requirements and caveats from upstream:
- Support for Various LLMs: Compatible with LLM API providers (OpenAI, AzureOpenAI, Cohere, etc.) and local LLMs (via ollama and llama-cpp-python).
Basic usage or getting-started notes:
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Extensible: Being built on Gradio, you are free to customize or add any UI elements as you like. Also, we aim to support multiple strategies for document indexing & retrieval. GraphRAG indexing pipeline is provide...
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If you are not a developer and just want to use the app, please check out our easy-to-follow User Guide. Download the .zip file from the [latest release](https://github.com/Cinn...
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Unstructured if you want to process files other than .pdf, .html, .mhtml, and .xlsx documents. Installation steps differ dep...
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Extracted from upstream docs: https://raw.githubusercontent.com/Cinnamon/kotaemon/HEAD/README.md