Comparison
rag-fusion vs filco
Verdict
Pick rag-fusion if rAG-Fusion leverages multi-query generation and Reciprocal Rank Fusion for enhanced retrieval-augmented generation tasks, supporting evaluations via NFCorpus/BEIR; pick filco if filco is a Python-based project that focuses on dialog generation, fact verification, and question answering using models like Flan-T5 and LLaMA2, with Dense Passage Retriever for retrieving relevant Wikipedia passages.
Markdown twin · rag-fusion alternatives · filco alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | rag-fusion | filco |
|---|---|---|
| Maintenance | Slowing (146d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (894d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · 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
- rag-fusion
- multi-query generation + Reciprocal Rank Fusion for retrieval-augmented generation
- filco
- Learning to Filter Context for Retrieval-Augmented Generation
Stars
- rag-fusion
- 958
- filco
- 199
Forks
- rag-fusion
- 114
- filco
- 20
Open issues
- rag-fusion
- 0
- filco
- 2
Language
- rag-fusion
- Python
- filco
- Python
Adopt for
- rag-fusion
- RAG-Fusion leverages multi-query generation and Reciprocal Rank Fusion for enhanced retrieval-augmented generation tasks, supporting evaluations via NFCorpus/BEIR.
- filco
- Filco is a Python-based project that focuses on dialog generation, fact verification, and question answering using models like Flan-T5 and LLaMA2, with Dense Passage Retriever for retrieving relevant Wikipedia passages.
Persona
- rag-fusion
- -
- filco
- -
Runtime
- rag-fusion
- -
- filco
- -
License
- rag-fusion
- MIT
- filco
- CC-BY-SA-4.0
Last pushed
- rag-fusion
- Apr 26, 2026
- filco
- Apr 6, 2024
Categories
- rag-fusion
- Data & Retrieval, Evaluation & Observability
- filco
- Data & Retrieval, Model Training
Trust and health
Maintenance
- rag-fusion
- Slowing (36%)
- filco
- Dormant (18%)
Days since push
- rag-fusion
- 146d
- filco
- 894d
Open issues (now)
- rag-fusion
- 0
- filco
- 2
Stars delta
- rag-fusion
- +12 (30d)
- filco
- +1 (30d)
OSV dependency advisories
- rag-fusion
- No lockfile (source not queried)
- filco
- Published findings
Full report
- rag-fusion
- Trust report
- filco
- Trust report
Shared compatibility
- Python · rag-fusion: Python runtime · filco: Python runtime
Choose rag-fusion if…
- License: rag-fusion is MIT, filco is CC-BY-SA-4.0.
- Tags unique to rag-fusion: chromadb, information retrieval, openai, python.
- Also covers Evaluation & Observability.
- For enhancing precision in retrieval-augmented generation tasks needing complex query processing
When NOT to use rag-fusion
- If you require real-time performance, as multi-query generation may introduce latency
- In scenarios where only simple keyword-based search suffices without the need for advanced fusion techniques
Choose filco if…
- License: filco is CC-BY-SA-4.0, rag-fusion is MIT.
- Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2.
- Also covers Model Training.
- When you need to generate dialogues that require fact verification and question answering capabilities, leveraging models like Flan-T5 and LLaMA2.
When NOT to use filco
- If your project does not require the use of Flan-T5 or LLaMA2 models for dialog generation, fact verification, or question answering.
- When you do not need to retrieve relevant Wikipedia passages using Dense Passage Retriever.
- If your project does not involve the use of preprocessed datasets with top-5 retrieved passages from Wikipedia.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Raudaschl/rag-fusion) · observed Sep 20, 2026
- GitHub forks (Raudaschl/rag-fusion) · observed Sep 20, 2026
- Last push (Raudaschl/rag-fusion) · observed Apr 26, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zorazrw/filco) · observed Sep 20, 2026
- GitHub forks (zorazrw/filco) · observed Sep 20, 2026
- Last push (zorazrw/filco) · observed Apr 6, 2024
- License file (CC-BY-SA-4.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: rag-fusion 958 · filco 199 (synced Sep 20, 2026).
Common questions
- What is the difference between rag-fusion and filco?
- rag-fusion: multi-query generation + Reciprocal Rank Fusion for retrieval-augmented generation. filco: Learning to Filter Context for Retrieval-Augmented Generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose rag-fusion over filco?
- Choose rag-fusion over filco when License: rag-fusion is MIT, filco is CC-BY-SA-4.0; Tags unique to rag-fusion: chromadb, information retrieval, openai, python; Also covers Evaluation & Observability; For enhancing precision in retrieval-augmented generation tasks needing complex query processing.
- When should I choose filco over rag-fusion?
- Choose filco over rag-fusion when License: filco is CC-BY-SA-4.0, rag-fusion is MIT; Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2; Also covers Model Training; When you need to generate dialogues that require fact verification and question answering capabilities, leveraging models like Flan-T5 and LLaMA2.
- When should I avoid rag-fusion?
- If you require real-time performance, as multi-query generation may introduce latency In scenarios where only simple keyword-based search suffices without the need for advanced fusion techniques
- When should I avoid filco?
- If your project does not require the use of Flan-T5 or LLaMA2 models for dialog generation, fact verification, or question answering. When you do not need to retrieve relevant Wikipedia passages using Dense Passage Retriever. If your project does not involve the use of preprocessed datasets with top-5 retrieved passages from Wikipedia.
- Is rag-fusion or filco more popular on GitHub?
- rag-fusion has more GitHub stars (958 vs 199). Stars measure visibility, not whether either tool fits your constraints.
- Are rag-fusion and filco open source?
- Yes - both are open-source projects on GitHub (rag-fusion: MIT, filco: CC-BY-SA-4.0).
- Where can I find alternatives to rag-fusion or filco?
- GraphCanon lists graph-backed alternatives at rag-fusion alternatives and filco alternatives (rag-fusion markdown twin, filco 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, rag-fusion or filco?
- rag-fusion: Slowing. filco: 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 rag-fusion and filco?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag-fusion trust report; filco trust report.