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FastEmbed should/can support sparse vector creation which is based on Bag of Words e.g. TF-IDF and BM25 Okapi. We can launch with existing Python implementations e.g https://pypi.org/project/rank-bm25/
This will help adoption for sparse vectors within the Qdrant ecosystem itself as we can recommend this as the canonical place to make some sparse vectors.
The text was updated successfully, but these errors were encountered:
FastEmbed should/can support sparse vector creation which is based on Bag of Words e.g. TF-IDF and BM25 Okapi. We can launch with existing Python implementations e.g https://pypi.org/project/rank-bm25/
This will help adoption for sparse vectors within the Qdrant ecosystem itself as we can recommend this as the canonical place to make some sparse vectors.
The text was updated successfully, but these errors were encountered: