[D] How do you improve vector search results?

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  • finetuner

    :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

  • You may find jina.ai and their finetuner package useful: https://github.com/jina-ai/finetuner.

  • CLIP

    CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  • Clip like learning method : https://github.com/openai/CLIP turns out to learn pretty well, I have finetuned on question dataset ( quora ) using the same crossentropy loss by clip and the results is better than other embedding I tried ( universal sentence embedding and bert ).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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