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Comparison

in-context-ralm vs mteb

Verdict

Pick in-context-ralm when tags unique to in-context-ralm: bm25, language models, pyserini, question answering experiments; pick mteb when tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval.

Markdown twin · in-context-ralm alternatives · mteb alternatives

GraphCanon updated today

in-context-ralm logo

in-context-ralm

AI21Labs/in-context-ralm

★ 295pushed Dec 20, 2023
vs
mteb logo

mteb

embeddings-benchmark/mteb

★ 3.3kpushed Jul 9, 2026

Trust & integrity

Signalin-context-ralmmteb
Maintenance
Archived (934d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
75 low (75 low)
As of today · osv@v1
No lockfile
As of today · none
in-context-ralm trust reportmteb trust reportTrust methodology

Tagline

in-context-ralm
In-Context Retrieval-Augmented Language Models
mteb
State-of-the-art evaluation of embeddings across languages and modalities

Stars

in-context-ralm
295
mteb
3.3k

Forks

in-context-ralm
28
mteb
638

Open issues

in-context-ralm
4
mteb
295

Language

in-context-ralm
Python
mteb
Python

Adopt for

in-context-ralm
-
mteb
-

Persona

in-context-ralm
-
mteb
-

Runtime

in-context-ralm
-
mteb
-

License

in-context-ralm
Apache-2.0
mteb
Apache-2.0

Last pushed

in-context-ralm
Dec 20, 2023
mteb
Jul 9, 2026

Categories

in-context-ralm
Evaluation & Observability, Model Training
mteb
Evaluation & Observability

Trust and health

Maintenance

in-context-ralm
Archived (8%)
mteb
Very active (96%)

Days since push

in-context-ralm
934d
mteb
1d

Archived on GitHub

in-context-ralm
Yes
mteb
No

Open issues (now)

in-context-ralm
4
mteb
295

Security scan

in-context-ralm
75 low (75 low)
mteb
No lockfile

Full report

in-context-ralm
Trust report
mteb
Trust report

Choose in-context-ralm if…

  • Tags unique to in-context-ralm: bm25, language models, pyserini, question answering experiments.
  • Also covers Model Training.
  • Leaner open-issue backlog (4).

When NOT to use in-context-ralm

  • in-context-ralm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Choose mteb if…

  • Tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval.
  • mteb ships Docker support for self-hosted deployment.
  • More GitHub stars (3.3k vs 295) - visibility, not fit.

When NOT to use mteb

  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
GitHubDetails

Explore

in-context-ralm trust report →mteb trust report →Evaluation & Observability category →Model Training 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 · mteb 3.3k (synced Jul 11, 2026).

Common questions

What is the difference between in-context-ralm and mteb?
in-context-ralm: In-Context Retrieval-Augmented Language Models. mteb: State-of-the-art evaluation of embeddings across languages and modalities. See the comparison table for live GitHub stats and shared categories.
When should I choose in-context-ralm over mteb?
Choose in-context-ralm over mteb when Tags unique to in-context-ralm: bm25, language models, pyserini, question answering experiments; Also covers Model Training; Leaner open-issue backlog (4).
When should I choose mteb over in-context-ralm?
Choose mteb over in-context-ralm when Tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval; mteb ships Docker support for self-hosted deployment; More GitHub stars (3.3k vs 295) - visibility, not fit.
When should I avoid in-context-ralm?
in-context-ralm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid mteb?
Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is in-context-ralm or mteb more popular on GitHub?
mteb has more GitHub stars (3,349 vs 295). Stars measure visibility, not whether either tool fits your constraints.
Are in-context-ralm and mteb open source?
Yes - both are open-source projects on GitHub (in-context-ralm: Apache-2.0, mteb: Apache-2.0).
Where can I find alternatives to in-context-ralm or mteb?
GraphCanon lists graph-backed alternatives at in-context-ralm alternatives and mteb alternatives (in-context-ralm markdown twin, mteb 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 mteb?
in-context-ralm: Archived. mteb: Very active. 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 mteb?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: in-context-ralm trust report; mteb trust report.