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A good set of resources if you wanna check out some other ones, been reviewing some myself. https://github.com/currentslab/awesome-vector-search

I was surprised to see Elastic actually has ok support for some of this stuff, though it appears slower for most of the tasks.

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We added HNSW-based vector search to Typesense as well recently: https://typesense.org/docs/0.24.0/api/vector-search.html

So you can combine attribute-based filters along with nearest-neighbor search.

Put together this semantic search + filtering demo just last week: https://github.com/typesense/typesense-instantsearch-semanti...

Thanks for the link. Nice to see Marqo on there (disclaimer I am a co-founder of Marqo). For anyone that is interested it includes a really nice api for handling a lot of the manipulations and operations you want to do (adding, updating, patching documents, filtering, embeddings only a subset of fields, multi-modal querying, multi-modal document representations) which are absent from vector db's. It also takes care of inference https://github.com/marqo-ai/marqo

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