Comparison
search vs awesome-2vec
Verdict
Pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework; pick awesome-2vec if curated list of various 2Vec embedding models, essential for specific AI applications needing diverse model approaches.
Markdown twin · search alternatives · awesome-2vec alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | search | awesome-2vec |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1381d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
- awesome-2vec
- Curated list of 2vec-type embedding models
Stars
- search
- 559
- awesome-2vec
- 933
Forks
- search
- 24
- awesome-2vec
- 179
Open issues
- search
- 5
- awesome-2vec
- 0
Language
- search
- Go
- awesome-2vec
- -
Adopt for
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
- awesome-2vec
- Curated list of various 2Vec embedding models, essential for specific AI applications needing diverse model approaches.
Persona
- search
- -
- awesome-2vec
- -
Runtime
- search
- -
- awesome-2vec
- -
License
- search
- MIT
- awesome-2vec
- -
Last pushed
- search
- Sep 19, 2026
- awesome-2vec
- Dec 8, 2022
Categories
- search
- Data & Retrieval, Vector Databases
- awesome-2vec
- Vector Databases
Trust and health
Maintenance
- search
- Very active (96%)
- awesome-2vec
- Dormant (18%)
Days since push
- search
- 0d
- awesome-2vec
- 1381d
Open issues (now)
- search
- 5
- awesome-2vec
- 0
Stars delta
- search
- +4 (30d)
- awesome-2vec
- -1 (30d)
Full report
- search
- Trust report
- awesome-2vec
- Trust report
Choose search if…
- Tags unique to search: ai, bert, gguf, gpu.
- Also covers Data & Retrieval.
- 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
Choose awesome-2vec if…
- Tags unique to awesome-2vec: list, model.
- Need a variety of pre-implemented 2Vec embedding models
- More GitHub stars (933 vs 559) - visibility, not fit.
When NOT to use awesome-2vec
- Seeking specialized, deep integration with a single embedding model type
- Project requires real-time tuning or development of unique 2Vec models
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kelindar/search) · observed Sep 20, 2026
- GitHub forks (kelindar/search) · observed Sep 20, 2026
- Last push (kelindar/search) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MaxwellRebo/awesome-2vec) · observed Sep 20, 2026
- GitHub forks (MaxwellRebo/awesome-2vec) · observed Sep 20, 2026
- Last push (MaxwellRebo/awesome-2vec) · observed Dec 8, 2022
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: search 559 · awesome-2vec 933 (synced Sep 20, 2026).
Common questions
- What is the difference between search and awesome-2vec?
- search: Go library for embedded vector search and semantic embeddings with llamacpp. awesome-2vec: Curated list of 2vec-type embedding models. See the comparison table for live GitHub stats and shared categories.
- When should I choose search over awesome-2vec?
- Choose search over awesome-2vec when Tags unique to search: ai, bert, gguf, gpu; Also covers Data & Retrieval; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I choose awesome-2vec over search?
- Choose awesome-2vec over search when Tags unique to awesome-2vec: list, model; Need a variety of pre-implemented 2Vec embedding models; More GitHub stars (933 vs 559) - visibility, not fit.
- 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
- When should I avoid awesome-2vec?
- Seeking specialized, deep integration with a single embedding model type Project requires real-time tuning or development of unique 2Vec models
- Is search or awesome-2vec more popular on GitHub?
- awesome-2vec has more GitHub stars (933 vs 559). Stars measure visibility, not whether either tool fits your constraints.
- Are search and awesome-2vec open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to search or awesome-2vec?
- GraphCanon lists graph-backed alternatives at search alternatives and awesome-2vec alternatives (search markdown twin, awesome-2vec 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, search or awesome-2vec?
- search: Very active. awesome-2vec: Dormant. 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 search and awesome-2vec?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; awesome-2vec trust report.