Comparison
azure-search-vector-samples vs cherche
Verdict
Pick azure-search-vector-samples if azure-search-vector-samples offers Jupyter Notebook examples for implementing vector search with Azure AI Search services; pick cherche if cherche is a Python library for implementing neural search capabilities.
Markdown twin · azure-search-vector-samples alternatives · cherche alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | azure-search-vector-samples | cherche |
|---|---|---|
| Maintenance | Active (13d since push) As of 3d · github_public_v1 | Dormant (812d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of 3d · 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
- azure-search-vector-samples
- Code samples for vector search capabilities in Azure AI Search
- cherche
- Neural Search
Stars
- azure-search-vector-samples
- 911
- cherche
- 332
Forks
- azure-search-vector-samples
- 378
- cherche
- 14
Open issues
- azure-search-vector-samples
- 65
- cherche
- 4
Language
- azure-search-vector-samples
- Jupyter Notebook
- cherche
- Python
Adopt for
- azure-search-vector-samples
- azure-search-vector-samples offers Jupyter Notebook examples for implementing vector search with Azure AI Search services
- cherche
- Cherche is a Python library for implementing neural search capabilities.
Persona
- azure-search-vector-samples
- -
- cherche
- -
Runtime
- azure-search-vector-samples
- -
- cherche
- -
License
- azure-search-vector-samples
- MIT
- cherche
- MIT
Last pushed
- azure-search-vector-samples
- Aug 9, 2026
- cherche
- Jun 1, 2024
Categories
- azure-search-vector-samples
- Vector Databases
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
Trust and health
Maintenance
- azure-search-vector-samples
- Active (82%)
- cherche
- Dormant (18%)
Days since push
- azure-search-vector-samples
- 13d
- cherche
- 812d
Open issues (now)
- azure-search-vector-samples
- 65
- cherche
- 4
Stars delta
- azure-search-vector-samples
- +1 (30d)
- cherche
- 0 (30d)
Open issues delta
- azure-search-vector-samples
- +5 (30d)
- cherche
- 0 (30d)
Owner type
- azure-search-vector-samples
- Organization
- cherche
- User
Full report
- azure-search-vector-samples
- Trust report
- cherche
- Trust report
Shared compatibility
- Python · azure-search-vector-samples: Python runtime · cherche: Python runtime
Choose azure-search-vector-samples if…
- azure-search-vector-samples is primarily Jupyter Notebook; cherche is Python.
- Tags unique to azure-search-vector-samples: azure, azurecognitivesearch, embeddings, vector-search.
- When developing applications that require advanced semantic search functionalities on unstructured data within the Microsoft ecosystem, as it integrates seamlessly with Azure resources
When NOT to use azure-search-vector-samples
- When working in non-Microsoft cloud environments due to its tight integration with Azure services
- For users who require real-time processing capabilities, as Azure AI Search might not be optimized for low-latency queries compared to specialized vector databases
Choose cherche if…
- cherche is primarily Python; azure-search-vector-samples is Jupyter Notebook.
- Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning.
- 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 (Azure/azure-search-vector-samples) · observed Aug 22, 2026
- GitHub forks (Azure/azure-search-vector-samples) · observed Aug 22, 2026
- Last push (Azure/azure-search-vector-samples) · observed Aug 9, 2026
- License file (MIT) · observed Aug 22, 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: azure-search-vector-samples 911 · cherche 332 (synced Aug 22, 2026).
Common questions
- What is the difference between azure-search-vector-samples and cherche?
- azure-search-vector-samples: Code samples for vector search capabilities in Azure AI Search. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose azure-search-vector-samples over cherche?
- Choose azure-search-vector-samples over cherche when azure-search-vector-samples is primarily Jupyter Notebook; cherche is Python; Tags unique to azure-search-vector-samples: azure, azurecognitivesearch, embeddings, vector-search; When developing applications that require advanced semantic search functionalities on unstructured data within the Microsoft ecosystem, as it integrates seamlessly with Azure resources.
- When should I choose cherche over azure-search-vector-samples?
- Choose cherche over azure-search-vector-samples when cherche is primarily Python; azure-search-vector-samples is Jupyter Notebook; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Data & Retrieval, Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- When should I avoid azure-search-vector-samples?
- When working in non-Microsoft cloud environments due to its tight integration with Azure services For users who require real-time processing capabilities, as Azure AI Search might not be optimized for low-latency queries compared to specialized vector databases
- 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 azure-search-vector-samples or cherche more popular on GitHub?
- azure-search-vector-samples has more GitHub stars (911 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are azure-search-vector-samples and cherche open source?
- Yes - both are open-source projects on GitHub (azure-search-vector-samples: MIT, cherche: MIT).
- Where can I find alternatives to azure-search-vector-samples or cherche?
- GraphCanon lists graph-backed alternatives at azure-search-vector-samples alternatives and cherche alternatives (azure-search-vector-samples 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, azure-search-vector-samples or cherche?
- azure-search-vector-samples: Active. 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 azure-search-vector-samples and cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: azure-search-vector-samples trust report; cherche trust report.