Aquila-Network/aquila

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

31
/ 100
Emerging

Aquila DB helps Machine Learning engineers and Data scientists efficiently store and retrieve vast amounts of data for neural search applications. You input 'latent vectors' (numerical representations of data like images or text) along with descriptive JSON metadata. It outputs similar data based on these feature vectors, making it easy to build applications that find related items.

379 stars. No commits in the last 6 months.

Use this if you are a Machine Learning engineer or Data scientist working on projects that require storing and quickly finding similar data based on feature vectors, such as in image or document retrieval.

Not ideal if you are looking for a general-purpose document database or a solution that handles vector generation without requiring your own ML models.

neural-search machine-learning-engineering information-retrieval data-science similarity-search
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

379

Forks

26

Language

HTML

License

Last pushed

May 06, 2024

Commits (30d)

0

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