Comparison
search vs wikipedia2vec
Verdict
Pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework; pick wikipedia2vec if a Python-based tool for generating embeddings derived from Wikipedia content.
Markdown twin · search alternatives · wikipedia2vec alternatives
GraphCanon updated Sep 20, 2026
5views this month
vs
Trust & integrity
| Signal | search | wikipedia2vec |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (869d 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 · Organization 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
- wikipedia2vec
- A tool for learning vector representations of words and entities from Wikipedia
Stars
- search
- 559
- wikipedia2vec
- 972
Forks
- search
- 24
- wikipedia2vec
- 101
Open issues
- search
- 5
- wikipedia2vec
- 8
Language
- search
- Go
- wikipedia2vec
- Python
Adopt for
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
- wikipedia2vec
- A Python-based tool for generating embeddings derived from Wikipedia content.
Persona
- search
- -
- wikipedia2vec
- -
Runtime
- search
- -
- wikipedia2vec
- -
License
- search
- MIT
- wikipedia2vec
- Other
Last pushed
- search
- Sep 19, 2026
- wikipedia2vec
- May 3, 2024
Categories
- search
- Data & Retrieval, Vector Databases
- wikipedia2vec
- Vector Databases
Trust and health
Maintenance
- search
- Very active (96%)
- wikipedia2vec
- Dormant (18%)
Days since push
- search
- 0d
- wikipedia2vec
- 869d
Open issues (now)
- search
- 5
- wikipedia2vec
- 8
Stars delta
- search
- +4 (30d)
- wikipedia2vec
- +5 (30d)
Owner type
- search
- User
- wikipedia2vec
- Organization
Full report
- search
- Trust report
- wikipedia2vec
- Trust report
Choose search if…
- search is primarily Go; wikipedia2vec is Python.
- License: search is MIT, wikipedia2vec is Other.
- 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 wikipedia2vec if…
- wikipedia2vec is primarily Python; search is Go.
- License: wikipedia2vec is Other, search is MIT.
- Tags unique to wikipedia2vec: natural language processing, nlp, python, text-classification.
- You need to generate word and entity embeddings based on extensive Wikipedia data
When NOT to use wikipedia2vec
- Your dataset doesn't intersect with or benefit from Wikipedia content
- You require real-time updating capabilities that exceed static Wikipedia dumps
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 (wikipedia2vec/wikipedia2vec) · observed Sep 20, 2026
- GitHub forks (wikipedia2vec/wikipedia2vec) · observed Sep 20, 2026
- Last push (wikipedia2vec/wikipedia2vec) · observed May 3, 2024
- License file (Other) · 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 · wikipedia2vec 972 (synced Sep 20, 2026).
Common questions
- What is the difference between search and wikipedia2vec?
- search: Go library for embedded vector search and semantic embeddings with llamacpp. wikipedia2vec: A tool for learning vector representations of words and entities from Wikipedia. See the comparison table for live GitHub stats and shared categories.
- When should I choose search over wikipedia2vec?
- Choose search over wikipedia2vec when search is primarily Go; wikipedia2vec is Python; License: search is MIT, wikipedia2vec is Other; 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 wikipedia2vec over search?
- Choose wikipedia2vec over search when wikipedia2vec is primarily Python; search is Go; License: wikipedia2vec is Other, search is MIT; Tags unique to wikipedia2vec: natural language processing, nlp, python, text-classification; You need to generate word and entity embeddings based on extensive Wikipedia data.
- 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 wikipedia2vec?
- Your dataset doesn't intersect with or benefit from Wikipedia content You require real-time updating capabilities that exceed static Wikipedia dumps
- Is search or wikipedia2vec more popular on GitHub?
- wikipedia2vec has more GitHub stars (972 vs 559). Stars measure visibility, not whether either tool fits your constraints.
- Are search and wikipedia2vec open source?
- Yes - both are open-source projects on GitHub (search: MIT, wikipedia2vec: Other).
- Where can I find alternatives to search or wikipedia2vec?
- GraphCanon lists graph-backed alternatives at search alternatives and wikipedia2vec alternatives (search markdown twin, wikipedia2vec 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 wikipedia2vec?
- search: Very active. wikipedia2vec: 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 wikipedia2vec?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; wikipedia2vec trust report.