Home/Compare/aquila vs vearch

Comparison

aquila vs vearch

Verdict

Pick aquila if aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations; pick vearch if vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.

Markdown twin · aquila alternatives · vearch alternatives

GraphCanon updated Sep 20, 2026

15views this month

aquila logo

aquila

Aquila-Network/aquila

★ 379pushed May 6, 2024
vs
vearch logo

vearch

vearch/vearch

★ 2.3kpushed Jul 27, 2026

Trust & integrity

Signalaquilavearch
Maintenance
Dormant (864d since push)
As of Sep 18, 2026 · github_public_v1
Steady (53d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

aquila
An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.
vearch
Distributed vector search for AI-native applications

Stars

aquila
379
vearch
2.3k

Forks

aquila
26
vearch
365

Open issues

aquila
13
vearch
170

Language

aquila
HTML
vearch
Python

Adopt for

aquila
Aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations.
vearch
Vearch is a distributed vector search engine for AI-native applications, supporting cloud-native deployment and retrieval-augmented generation.

Persona

aquila
-
vearch
-

Runtime

aquila
-
vearch
-

License

aquila
Aquila is licensed under the Apache License 2.0.
vearch
Vearch is available under the Apache License, Version 2.0, allowing for free use, modification, and distribution.

Last pushed

aquila
May 6, 2024
vearch
Jul 27, 2026

Categories

aquila
Data & Retrieval, Vector Databases
vearch
Data & Retrieval, Vector Databases

Trust and health

Maintenance

aquila
Dormant (18%)
vearch
Steady (60%)

Days since push

aquila
864d
vearch
53d

Open issues (now)

aquila
13
vearch
170

Stars delta

aquila
0 (30d)
vearch
+9 (30d)

Open issues delta

aquila
0 (30d)
vearch
+1 (30d)

OSV dependency advisories

aquila
No lockfile (source not queried)
vearch
Published findings

Full report

Choose aquila if…

  • aquila is primarily HTML; vearch is Python.
  • Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions..
  • Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
  • When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.

When NOT to use aquila

  • 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.
  • If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.

Choose vearch if…

  • vearch is primarily Python; aquila is HTML.
  • Pricing: Vearch is free and open-source under the Apache License, Version 2.0, with no additional costs for the core software..
  • Requirements: Min 2 GB RAM; Vearch supports Kubernetes deployment, which requires a Kubernetes cluster..
  • Tags unique to vearch: ai-native, cloud-native, document-retrieval, embeddings.
  • When you need a cloud-native deployment option for vector search, as Vearch supports Kubernetes deployment out-of-the-box.

When NOT to use vearch

  • If your project does not require cloud-native deployment or Kubernetes integration, Vearch might offer more features than necessary.
  • If your application does not benefit from retrieval-augmented generation, Vearch's specialized features might not be fully utilized.
  • For scenarios where the application does not involve AI-native operations, Vearch's specialized design for AI-native applications might not be the best fit.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: aquila 379 · vearch 2.3k (synced Sep 20, 2026).

Common questions

What is the difference between aquila and vearch?
aquila: An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.. vearch: Distributed vector search for AI-native applications. See the comparison table for live GitHub stats and shared categories.
When should I choose aquila over vearch?
Choose aquila over vearch when aquila is primarily HTML; vearch is Python; Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions.; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
When should I choose vearch over aquila?
Choose vearch over aquila when vearch is primarily Python; aquila is HTML; Pricing: Vearch is free and open-source under the Apache License, Version 2.0, with no additional costs for the core software.; Requirements: Min 2 GB RAM; Vearch supports Kubernetes deployment, which requires a Kubernetes cluster.; Tags unique to vearch: ai-native, cloud-native, document-retrieval, embeddings; When you need a cloud-native deployment option for vector search, as Vearch supports Kubernetes deployment out-of-the-box.
When should I avoid aquila?
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. If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
When should I avoid vearch?
If your project does not require cloud-native deployment or Kubernetes integration, Vearch might offer more features than necessary. If your application does not benefit from retrieval-augmented generation, Vearch's specialized features might not be fully utilized. For scenarios where the application does not involve AI-native operations, Vearch's specialized design for AI-native applications might not be the best fit.
Is aquila or vearch more popular on GitHub?
vearch has more GitHub stars (2,326 vs 379). Stars measure visibility, not whether either tool fits your constraints.
Are aquila and vearch open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to aquila or vearch?
GraphCanon lists graph-backed alternatives at aquila alternatives and vearch alternatives (aquila markdown twin, vearch markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, aquila or vearch?
aquila: Dormant. vearch: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for aquila and vearch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; vearch trust report.

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