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AquilaDB

github.com/Aquila-Network/AquilaDB AI Search & Research Open-source project

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

Visit AquilaDB 13 alternatives
github.com/Aquila-Network/AquilaDB
AquilaDB homepage screenshot

About AquilaDB

AquilaDB is a neural search engine that stores latent vectors produced by machine learning models together with JSON metadata, and runs k-NN retrieval to find similar items. According to its project page, it is intended as a database for machine learning engineers and data scientists building neural information retrieval applications, and it is described as simple to set up and language-agnostic. It is also described as useful for image collections with related metadata.

The project is in alpha. Client libraries for Python and Node.js are still in progress, and users currently need to deploy their own models to produce the vector embeddings. The project page states that it is not a document database. The peer-to-peer network layer for AquilaDB nodes is also still in development.

Key features

  • Indexes latent vectors together with JSON metadata for each entry
  • Performs k-NN search to retrieve similar vectors
  • Installs through a Debian install script
  • Provides Docker images in lite and big data variants
  • Client libraries for Python and Node.js are in progress
  • Generates private keys for client authentication in the /ossl/ directory
Best for: Machine learning engineers and data scientists who need to store vector embeddings with metadata and find similar items, such as image collections.
Good for
  • The project describes setup as simple and the software as language-agnostic.
  • Docker images are available for deployment in lite and big data variants.
  • The project states it is already used in production for semantic search on its own network.
Watch out for
  • The project is described as being in alpha.
  • The project page states it is not a document database.
  • Users must deploy their own models to generate the vector embeddings.

AquilaDB at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026
machine learningimage searchvideo searchinformation retrieval

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AquilaDB FAQ

Is AquilaDB a document database?
No. The project page says that if you are looking for a document database, AquilaDB is not the right tool.
Where do the vector embeddings come from?
The project page says that, for now, users need to deploy their own models to feed vector embeddings into AquilaDB.
Where is the client authentication key stored?
The key is in the /ossl/ directory inside the AquilaDB Docker container. It can be copied to the host with docker cp. If you installed without Docker, it is in that directory on your computer.
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Listing maintained by Chris McClure and the WebIndexly editors · Updated Oct 13, 2026 · How we rank