aquila
An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations.
Good fit when
- When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
- If your application requires a lightweight deployment option, Aquila offers a lite version suitable for smaller datasets.
Avoid when
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable.
- If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill.
- Requirements:
- Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (864d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/Aquila-Network/aquilaSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Aquila-Network/aquila is a repository that provides a neural search engine capable of indexing latent vectors alongside JSON metadata, enabling efficient k-NN search operations.
Capability facts
- Languages
- html
Source: github.language · Sep 18, 2026
Categories
Tags
README
Docker You need docker installed in your system Build image (lite): Build image (big data): Run image (to deploy Aquila DB lite): Run image (to deploy Aquila DB big): License Apache License 2.0 license file created by ❤️ with a mma (a മ്മ)
For agents
This page has a .md twin and JSON over the API.