FastEmbed is a new Python library designed for quick and efficient embedding generation. It supports popular text models, has a CPU-first design, and offers data-parallelism for encoding large datasets. The library’s default model, Flag Embedding, tops the MTEB leaderboard. FastEmbed also outperforms OpenAI Ada-002 in terms of accuracy and recall. The library can be easily installed via pip and can be used with Qdrant for enhanced functionality.
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