Comparison
cherche vs rag-fusion
Verdict
Pick cherche when tags unique to cherche: bm25, flashtext, machine-learning, natural-language-processing; pick rag-fusion when tags unique to rag-fusion: chromadb, openai, python, rag.
Markdown twin · cherche alternatives · rag-fusion alternatives
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Trust & integrity
| Signal | cherche | rag-fusion |
|---|---|---|
| Maintenance | Dormant (769d since push) As of 1d · github_public_v1 | Steady (75d 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 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of 1d · none |
Tagline
- cherche
- Neural Search
- rag-fusion
- RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
Stars
- cherche
- 331
- rag-fusion
- 946
Forks
- cherche
- 14
- rag-fusion
- 113
Open issues
- cherche
- 4
- rag-fusion
- 0
Language
- cherche
- Python
- rag-fusion
- Python
Adopt for
- cherche
- Cherche is a Python library for implementing neural search capabilities.
- rag-fusion
- -
Persona
- cherche
- -
- rag-fusion
- -
Runtime
- cherche
- -
- rag-fusion
- -
License
- cherche
- MIT
- rag-fusion
- MIT
Last pushed
- cherche
- Jun 1, 2024
- rag-fusion
- Apr 26, 2026
Categories
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
- rag-fusion
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- cherche
- Dormant (18%)
- rag-fusion
- Steady (60%)
Days since push
- cherche
- 769d
- rag-fusion
- 75d
Open issues (now)
- cherche
- 4
- rag-fusion
- 0
Full report
- cherche
- Trust report
- rag-fusion
- Trust report
Choose cherche if…
- Tags unique to cherche: bm25, flashtext, machine-learning, natural-language-processing.
- Also covers Evaluation & Observability.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 770 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.
Choose rag-fusion if…
- Tags unique to rag-fusion: chromadb, openai, python, rag.
- Also covers LLM Frameworks.
- More GitHub stars (946 vs 331) - visibility, not fit.
When NOT to use rag-fusion
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 (raphaelsty/cherche) · observed Jul 11, 2026
- GitHub forks (raphaelsty/cherche) · observed Jul 11, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Raudaschl/rag-fusion) · observed Jul 11, 2026
- GitHub forks (Raudaschl/rag-fusion) · observed Jul 11, 2026
- Last push (Raudaschl/rag-fusion) · observed Apr 26, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: cherche 331 · rag-fusion 946 (synced Jul 11, 2026).
Common questions
- What is the difference between cherche and rag-fusion?
- cherche: Neural Search. rag-fusion: RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.. See the comparison table for live GitHub stats and shared categories.
- When should I choose cherche over rag-fusion?
- Choose cherche over rag-fusion when Tags unique to cherche: bm25, flashtext, machine-learning, natural-language-processing; Also covers Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- When should I choose rag-fusion over cherche?
- Choose rag-fusion over cherche when Tags unique to rag-fusion: chromadb, openai, python, rag; Also covers LLM Frameworks; More GitHub stars (946 vs 331) - visibility, not fit.
- When should I avoid cherche?
- Last GitHub push was 770 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.
- When should I avoid rag-fusion?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is cherche or rag-fusion more popular on GitHub?
- rag-fusion has more GitHub stars (946 vs 331). Stars measure visibility, not whether either tool fits your constraints.
- Are cherche and rag-fusion open source?
- Yes - both are open-source projects on GitHub (cherche: MIT, rag-fusion: MIT).
- Where can I find alternatives to cherche or rag-fusion?
- GraphCanon lists graph-backed alternatives at cherche alternatives and rag-fusion alternatives (cherche markdown twin, rag-fusion 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, cherche or rag-fusion?
- cherche: Dormant. rag-fusion: Steady. 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 cherche and rag-fusion?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cherche trust report; rag-fusion trust report.