Comparison
aquila vs search
Verdict
Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
Markdown twin · aquila alternatives · search alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | aquila | search |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 3w · github_public_v1 | Slowing (169d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Efficient Neural Search Engine
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
Stars
- aquila
- 379
- search
- 558
Forks
- aquila
- 26
- search
- 24
Open issues
- aquila
- 13
- search
- 5
Language
- aquila
- HTML
- search
- Go
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
Persona
- aquila
- -
- search
- -
Runtime
- aquila
- -
- search
- -
License
- aquila
- -
- search
- MIT
Last pushed
- aquila
- May 6, 2024
- search
- Mar 6, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- search
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- search
- Slowing (36%)
Days since push
- aquila
- 817d
- search
- 169d
Open issues (now)
- aquila
- 13
- search
- 5
Stars delta
- aquila
- Unknown
- search
- +3 (30d)
Open issues delta
- aquila
- Unknown
- search
- 0 (30d)
Owner type
- aquila
- Organization
- search
- User
Full report
- aquila
- Trust report
- search
- Trust report
Choose aquila if…
- aquila is primarily HTML; search is Go.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary
When NOT to use aquila
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration
- In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
Choose search if…
- search is primarily Go; aquila is HTML.
- Tags unique to search: ai, bert, embeddings, gguf.
- Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go
When NOT to use search
- Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities
- Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Aquila-Network/aquila) · observed Aug 2, 2026
- GitHub forks (Aquila-Network/aquila) · observed Aug 2, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kelindar/search) · observed Aug 23, 2026
- GitHub forks (kelindar/search) · observed Aug 23, 2026
- Last push (kelindar/search) · observed Mar 6, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · search 558 (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and search?
- aquila: Efficient Neural Search Engine. search: Go library for embedded vector search and semantic embeddings with llamacpp. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over search?
- Choose aquila over search when aquila is primarily HTML; search is Go; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary.
- When should I choose search over aquila?
- Choose search over aquila when search is primarily Go; aquila is HTML; Tags unique to search: ai, bert, embeddings, gguf; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I avoid aquila?
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
- When should I avoid search?
- Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution
- Is aquila or search more popular on GitHub?
- search has more GitHub stars (558 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and search open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or search?
- GraphCanon lists graph-backed alternatives at aquila alternatives and search alternatives (aquila markdown twin, search 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 search?
- aquila: Dormant. search: Slowing. 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 search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; search trust report.