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Comparison

in-context-ralm vs filco

Verdict

Pick in-context-ralm if in-context-ralm is a Python-based tool for reproducing experiments on WikiText-103 from AI21 Labs' paper on In-Context Retrieval-Augmented Language Models, leveraging Transformers and Pyserini libraries; 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 · in-context-ralm alternatives · filco alternatives

GraphCanon updated Sep 20, 2026

in-context-ralm logo

in-context-ralm

AI21Labs/in-context-ralm

★ 295pushed Dec 20, 2023
vs
filco logo

filco

zorazrw/filco

★ 199pushed Apr 6, 2024

Trust & integrity

Signalin-context-ralmfilco
Maintenance
Archived (1003d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (894d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 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
in-context-ralm trust reportfilco trust reportTrust methodology

Tagline

in-context-ralm
In-Context Retrieval-Augmented Language Models
filco
Learning to Filter Context for Retrieval-Augmented Generation

Stars

in-context-ralm
295
filco
199

Forks

in-context-ralm
28
filco
20

Open issues

in-context-ralm
4
filco
2

Language

in-context-ralm
Python
filco
Python

Adopt for

in-context-ralm
in-context-ralm is a Python-based tool for reproducing experiments on WikiText-103 from AI21 Labs' paper on In-Context Retrieval-Augmented Language Models, leveraging Transformers and Pyserini libraries.
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

in-context-ralm
-
filco
-

Runtime

in-context-ralm
-
filco
-

License

in-context-ralm
Apache-2.0
filco
CC-BY-SA-4.0

Last pushed

in-context-ralm
Dec 20, 2023
filco
Apr 6, 2024

Categories

in-context-ralm
Evaluation & Observability, Model Training
filco
Data & Retrieval, Model Training

Trust and health

Maintenance

in-context-ralm
Archived (8%)
filco
Dormant (18%)

Days since push

in-context-ralm
1003d
filco
894d

Archived on GitHub

in-context-ralm
Yes
filco
No

Open issues (now)

in-context-ralm
4
filco
2

Stars delta

in-context-ralm
0 (30d)
filco
+1 (30d)

Owner type

in-context-ralm
Organization
filco
User

Full report

in-context-ralm
Trust report
filco
Trust report

Shared compatibility

  • Python · in-context-ralm: Python runtime · filco: Python runtime

Choose in-context-ralm if…

  • License: in-context-ralm is Apache-2.0, filco is CC-BY-SA-4.0.
  • Requirements: Min 8 GB RAM; Ensure Python 3.8 is installed.; Java 11 is required for BM25 preparation with Pyserini.; CUDA-specific Pytorch installation is recommended for optimal performance..
  • Tags unique to in-context-ralm: in-context ralm, language models, pyserini, python.
  • Also covers Evaluation & Observability.
  • Use in-context-ralm when you need to reproduce experiments on WikiText-103 as detailed in AI21 Labs' paper.

When NOT to use in-context-ralm

  • Do not use in-context-ralm if your project does not involve the WikiText-103 dataset or the specific language models tested in the AI21 Labs paper.
  • Avoid using this tool if you do not require the specific setup involving Pyserini for BM25 retrieval, as it necessitates Java 11 and setting the JAVA_HOME environment variable.
  • Do not use in-context-ralm if your project does not align with the Apache-2.0 license terms.
GitHubDetails

Choose filco if…

  • License: filco is CC-BY-SA-4.0, in-context-ralm is Apache-2.0.
  • Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2.
  • Also covers Data & Retrieval.
  • 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.
GitHubDetails

Explore

in-context-ralm trust report →filco trust report →Evaluation & Observability category →Model Training category →Data & Retrieval category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: in-context-ralm 295 · filco 199 (synced Sep 20, 2026).

Common questions

What is the difference between in-context-ralm and filco?
in-context-ralm: In-Context Retrieval-Augmented Language Models. filco: Learning to Filter Context for Retrieval-Augmented Generation. See the comparison table for live GitHub stats and shared categories.
When should I choose in-context-ralm over filco?
Choose in-context-ralm over filco when License: in-context-ralm is Apache-2.0, filco is CC-BY-SA-4.0; Requirements: Min 8 GB RAM; Ensure Python 3.8 is installed.; Java 11 is required for BM25 preparation with Pyserini.; CUDA-specific Pytorch installation is recommended for optimal performance.; Tags unique to in-context-ralm: in-context ralm, language models, pyserini, python; Also covers Evaluation & Observability; Use in-context-ralm when you need to reproduce experiments on WikiText-103 as detailed in AI21 Labs' paper.
When should I choose filco over in-context-ralm?
Choose filco over in-context-ralm when License: filco is CC-BY-SA-4.0, in-context-ralm is Apache-2.0; Tags unique to filco: dialog-generation, fact-verification, flan-t5, llama2; Also covers Data & Retrieval; 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 in-context-ralm?
Do not use in-context-ralm if your project does not involve the WikiText-103 dataset or the specific language models tested in the AI21 Labs paper. Avoid using this tool if you do not require the specific setup involving Pyserini for BM25 retrieval, as it necessitates Java 11 and setting the JAVA_HOME environment variable. Do not use in-context-ralm if your project does not align with the Apache-2.0 license terms.
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 in-context-ralm or filco more popular on GitHub?
in-context-ralm has more GitHub stars (295 vs 199). Stars measure visibility, not whether either tool fits your constraints.
Are in-context-ralm and filco open source?
Yes - both are open-source projects on GitHub (in-context-ralm: Apache-2.0, filco: CC-BY-SA-4.0).
Where can I find alternatives to in-context-ralm or filco?
GraphCanon lists graph-backed alternatives at in-context-ralm alternatives and filco alternatives (in-context-ralm 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, in-context-ralm or filco?
in-context-ralm: Archived. 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 in-context-ralm and filco?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: in-context-ralm trust report; filco trust report.

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