Home/Compare/cherche vs rag-fusion

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

GraphCanon updated today

cherche logo

cherche

raphaelsty/cherche

331pushed Jun 1, 2024
vs
rag-fusion logo

rag-fusion

Raudaschl/rag-fusion

946pushed Apr 26, 2026

Trust & integrity

Signalchercherag-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

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 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.