tjmlabs/ColiVara
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Colivara is a suite of services that allows you to store, search, and retrieve documents based on their visual embedding. ColiVara has state of the art retrieval performance on both text and visual documents. using vision models instead of chunking and text-processing for documents. No OCR, no text extraction, no broken tables, or missing images.
7 mentions on Hacker News by 1 person: 3 stories, 4 comments · first 2024-11-16 · latest 2025-01-14
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…with vision based RAG/search. We have a good open-source repo here with a ColPali implementation: https://github.com/tjmlabs/ColiVara
comment by jonathan-adly · 2025-01-14 · in How we used GPT-4o for image detection with 350 similar illustrations -
I would like to throw our project in the ring that solves this problem: https://github.com/tjmlabs/ColiVara 1. Uses half-vecs, so you cut down everything by half with no recall loss 2. Uses token pooling with hierarchial clustering at 3,…
comment by jonathan-adly · 2024-12-05 · in VectorChord: Store 400k Vectors for $1 in PostgreSQL -
…& SOTA. Much better than OCR. We maintain a ready to go retrieval API that implements this: https://github.com/tjmlabs/ColiVara
comment by jonathan-adly · 2024-12-04 · in Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques -
…in that space, would throw our project in the mix which uses ColPali under the hood transparently. https://github.com/tjmlabs/ColiVara The main benchmark for this is the Vidore leaderboard. Where we would love to see where VoyageAI…
comment by jonathan-adly · 2024-11-17 · in All-in-one embedding model for interleaved text, images, and screenshots