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Overview of Late Interaction Retrieval Models: ColBERT, ColPali, and ColQwen

weaviate.io
2 分·作者 thirdtrigger·去年·0 评论

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thirdtrigger
·去年·讨论
Might be interesting to add an optional embedded Weaviate [1] with a flat-index [2] to the project. It wouldn't use external services and is fully disk-based. Would allow you to search the whole filesystem (about 1.5kb per file (384 dimensions) which would be added to the metadata as well).

1. https://weaviate.io/developers/weaviate/installation/embedde... 2. https://weaviate.io/developers/academy/py/vector_index/flat