Comparison
search vs cherche
Verdict
Pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework; pick cherche if cherche is a Python library for implementing neural search capabilities.
Markdown twin · search alternatives · cherche alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | search | cherche |
|---|---|---|
| Maintenance | Slowing (169d since push) As of 1d · github_public_v1 | Dormant (812d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · 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
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
- cherche
- Neural Search
Stars
- search
- 558
- cherche
- 332
Forks
- search
- 24
- cherche
- 14
Open issues
- search
- 5
- cherche
- 4
Language
- search
- Go
- cherche
- Python
Adopt for
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
- cherche
- Cherche is a Python library for implementing neural search capabilities.
Persona
- search
- -
- cherche
- -
Runtime
- search
- -
- cherche
- -
License
- search
- MIT
- cherche
- MIT
Last pushed
- search
- Mar 6, 2026
- cherche
- Jun 1, 2024
Categories
- search
- Data & Retrieval, Vector Databases
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
Trust and health
Maintenance
- search
- Slowing (36%)
- cherche
- Dormant (18%)
Days since push
- search
- 169d
- cherche
- 812d
Open issues (now)
- search
- 5
- cherche
- 4
Stars delta
- search
- +3 (30d)
- cherche
- 0 (30d)
Full report
- search
- Trust report
- cherche
- Trust report
Choose search if…
- search is primarily Go; cherche is Python.
- 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
Choose cherche if…
- cherche is primarily Python; search is Go.
- Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning.
- Also covers Evaluation & Observability.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 814 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 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 (raphaelsty/cherche) · observed Aug 23, 2026
- GitHub forks (raphaelsty/cherche) · observed Aug 23, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: search 558 · cherche 332 (synced Aug 23, 2026).
Common questions
- What is the difference between search and cherche?
- search: Go library for embedded vector search and semantic embeddings with llamacpp. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose search over cherche?
- Choose search over cherche when search is primarily Go; cherche is Python; 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 choose cherche over search?
- Choose cherche over search when cherche is primarily Python; search is Go; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- 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 cherche?
- Last GitHub push was 814 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is search or cherche more popular on GitHub?
- search has more GitHub stars (558 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are search and cherche open source?
- Yes - both are open-source projects on GitHub (search: MIT, cherche: MIT).
- Where can I find alternatives to search or cherche?
- GraphCanon lists graph-backed alternatives at search alternatives and cherche alternatives (search markdown twin, cherche 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 cherche?
- search: Slowing. cherche: 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 cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; cherche trust report.