[P] I trained an AI model on 120M+ songs from iTunes

• txtai

  355 6,990 9.3 Python

  💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  

If you're using FAISS, you may want to take a look at txtai in the future (https://github.com/neuml/txtai). You can combine a FAISS index with a SQLite database to add additional field based filtering.

• qdrant

  140 17,943 9.9 Rust

  Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  

Have you considered a proper vector database with filtering already built-in? Some tools like Qdrant (https://qdrant.tech) can perform vector search with metadata filtering, and you can quickly scale them up, as they are proper databases, not libraries like FAISS. I may give you a quick tour, if you want ;)

• InfluxDB

  www.influxdata.com featured

  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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