Comparison
awesome-vector-search vs cherche
Verdict
Pick awesome-vector-search if curated collection of vector search-related resources including libraries, services, and research papers; pick cherche if cherche is a Python library for implementing neural search capabilities.
Markdown twin · awesome-vector-search alternatives · cherche alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | awesome-vector-search | cherche |
|---|---|---|
| Maintenance | Steady (48d since push) As of 2d · github_public_v1 | Dormant (812d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Personal account As of 2d · 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
- awesome-vector-search
- Collections of vector search related libraries, service and research papers
- cherche
- Neural Search
Stars
- awesome-vector-search
- 1.6k
- cherche
- 332
Forks
- awesome-vector-search
- 127
- cherche
- 14
Open issues
- awesome-vector-search
- 19
- cherche
- 4
Language
- awesome-vector-search
- -
- cherche
- Python
Adopt for
- awesome-vector-search
- Curated collection of vector search-related resources including libraries, services, and research papers.
- cherche
- Cherche is a Python library for implementing neural search capabilities.
Persona
- awesome-vector-search
- -
- cherche
- -
Runtime
- awesome-vector-search
- -
- cherche
- -
License
- awesome-vector-search
- MIT
- cherche
- MIT
Last pushed
- awesome-vector-search
- Jul 6, 2026
- cherche
- Jun 1, 2024
Categories
- awesome-vector-search
- Vector Databases
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
Trust and health
Maintenance
- awesome-vector-search
- Steady (60%)
- cherche
- Dormant (18%)
Days since push
- awesome-vector-search
- 48d
- cherche
- 812d
Open issues (now)
- awesome-vector-search
- 19
- cherche
- 4
Stars delta
- awesome-vector-search
- +5 (30d)
- cherche
- 0 (30d)
Open issues delta
- awesome-vector-search
- +5 (30d)
- cherche
- 0 (30d)
Owner type
- awesome-vector-search
- Organization
- cherche
- User
Full report
- awesome-vector-search
- Trust report
- cherche
- Trust report
Choose awesome-vector-search if…
- Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, nearest-neighbor-search.
- You need a comprehensive overview of vector search technology.
- More GitHub stars (1.6k vs 332) - visibility, not fit.
When NOT to use awesome-vector-search
- Require real-time vector search service implementation details outside listed libraries.
- Seeking detailed code tutorials rather than a list of resources.
Choose cherche if…
- Tags unique to cherche: bm25, flashtext, information-retrieval, natural-language-processing.
- Also covers Data & Retrieval, Evaluation & Observability.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 815 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 (currentslab/awesome-vector-search) · observed Aug 23, 2026
- GitHub forks (currentslab/awesome-vector-search) · observed Aug 23, 2026
- Last push (currentslab/awesome-vector-search) · observed Jul 6, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 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: awesome-vector-search 1.6k · cherche 332 (synced Aug 23, 2026).
Common questions
- What is the difference between awesome-vector-search and cherche?
- awesome-vector-search: Collections of vector search related libraries, service and research papers. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-vector-search over cherche?
- Choose awesome-vector-search over cherche when Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, nearest-neighbor-search; You need a comprehensive overview of vector search technology; More GitHub stars (1.6k vs 332) - visibility, not fit.
- When should I choose cherche over awesome-vector-search?
- Choose cherche over awesome-vector-search when Tags unique to cherche: bm25, flashtext, information-retrieval, natural-language-processing; Also covers Data & Retrieval, Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- When should I avoid awesome-vector-search?
- Require real-time vector search service implementation details outside listed libraries. Seeking detailed code tutorials rather than a list of resources.
- When should I avoid cherche?
- Last GitHub push was 815 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 awesome-vector-search or cherche more popular on GitHub?
- awesome-vector-search has more GitHub stars (1,581 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-vector-search and cherche open source?
- Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, cherche: MIT).
- Where can I find alternatives to awesome-vector-search or cherche?
- GraphCanon lists graph-backed alternatives at awesome-vector-search alternatives and cherche alternatives (awesome-vector-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, awesome-vector-search or cherche?
- awesome-vector-search: Steady. 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 awesome-vector-search and cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-search trust report; cherche trust report.