Type: GitHub Repository Original link: https://github.com/jolibrain/colette/tree/main Publication date: 2025-09-04
Summary #
WHAT - Colette is an open-source software for Retrieval-Augmented Generation (RAG) and serving of Large Language Models (LLM). It allows you to search and interact locally with technical documents of any type, including visual elements such as images and diagrams.
WHY - It is relevant for AI business because it allows managing sensitive documents without having to send them to external APIs, ensuring security and privacy. It solves the problem of extracting information from complex and multimodal documents.
WHO - The main actors are Jolibrain (main developer), CNES and Airbus (co-financers). The community is still small but growing.
WHERE - It positions itself in the market of RAG and LLM solutions, focusing on technical and multimodal documents. It is part of the open-source AI ecosystem.
WHEN - It is a relatively new but already functional project, with growth potential. The temporal trend shows increasing interest, as indicated by the stars and forks on GitHub.
BUSINESS IMPACT:
- Opportunities: Integration with sensitive corporate documents to improve search and interaction without the risk of leaks. Possibility of offering customized solutions for clients who need to manage multimodal documents.
- Risks: Competition with more established proprietary solutions. Need for investments to maintain and update the software.
- Integration: Can be integrated into the existing stack via Docker, facilitating deployment and use.
TECHNICAL SUMMARY:
- Core technology stack: HTML, Docker, Python, Vision Language Models (VLM), Document Screenshot Embedding, ColPali retrievers.
- Scalability: Requires robust hardware (GPU >= 24GB, RAM >= 16GB, Disk >= 50GB). Scalability depends on the ability to handle large volumes of multimodal documents.
- Technical differentiators: Vision-RAG (V-RAG) for the analysis of documents such as images, multimodal support, integration with diffusers for image generation.
Use Cases #
- Private AI Stack: Integration in proprietary pipelines
- Client Solutions: Implementation for client projects
- Development Acceleration: Reduction of time-to-market for projects
- Strategic Intelligence: Input for technological roadmap
- Competitive Analysis: Monitoring AI ecosystem
Resources #
Original Links #
- Colette - Original link
Article suggested and selected by the Human Technology eXcellence team, elaborated through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-04 19:37 Original source: https://github.com/jolibrain/colette/tree/main
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