An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Index and search for information using machine learning-generated data and metadata with a simple setup.
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Free · no card · unsubscribe anytimeAn easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
aquila has 379 stars on GitHub. It has been forked 26 times. aquila is written mainly in HTML. It has been in active development since 2019. Its main topics are approximate-nearest-neighbor-search, aquila, embedding, faiss.
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
aquila is an open-source project.
Yes. aquila is free and open source — you can use, modify and self-host it.
aquila is written mainly in HTML.
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[](https://olud.ai/project/aquila-network-aquila.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.