---
title: "in-context-ralm vs mteb"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ai21labs-in-context-ralm-vs-embeddings-benchmark-mteb"
tools: ["ai21labs-in-context-ralm", "embeddings-benchmark-mteb"]
---

# in-context-ralm vs mteb

*GraphCanon updated Jul 12, 2026*

## 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.

[in-context-ralm](https://github.com/AI21Labs/in-context-ralm) reports 295 GitHub stars, 28 forks, and 4 open issues, last pushed Dec 20, 2023. [mteb](https://docs.mteb.org) has 3.3k stars, 638 forks, and 295 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [in-context-ralm's repository](https://github.com/AI21Labs/in-context-ralm) and [mteb's repository](https://github.com/embeddings-benchmark/mteb).

| | [in-context-ralm](/tools/ai21labs-in-context-ralm.md) | [mteb](/tools/embeddings-benchmark-mteb.md) |
| --- | --- | --- |
| Tagline | In-Context Retrieval-Augmented Language Models | State-of-the-art evaluation of embeddings across languages and modalities |
| Stars | 295 | 3,349 |
| Forks | 28 | 638 |
| Open issues | 4 | 295 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Evaluation & Observability, Model Training | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [in-context-ralm](/tools/ai21labs-in-context-ralm.md) | [mteb](/tools/embeddings-benchmark-mteb.md) |
| --- | --- | --- |
| Maintenance | Archived (8%) | Very active (96%) |
| Days since push | 934d | 1d |
| Archived on GitHub | Yes | No |
| Open issues (now) | 4 | 295 |
| Security scan | 75 low (75 low) | No lockfile |
| Full report | [trust report](/tools/ai21labs-in-context-ralm/trust.md) | [trust report](/tools/embeddings-benchmark-mteb/trust.md) |

## Choose when

### 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).

### 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 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 NOT to use mteb

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

## 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](/tools/ai21labs-in-context-ralm/alternatives) and [mteb alternatives](/tools/embeddings-benchmark-mteb/alternatives) ([in-context-ralm markdown twin](/tools/ai21labs-in-context-ralm/alternatives.md), [mteb markdown twin](/tools/embeddings-benchmark-mteb/alternatives.md)), 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](/compare/ai21labs-in-context-ralm-vs-embeddings-benchmark-mteb.md) 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](/tools/ai21labs-in-context-ralm/trust); [mteb trust report](/tools/embeddings-benchmark-mteb/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ai21labs-in-context-ralm`](/api/graphcanon/graph?tool=ai21labs-in-context-ralm)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_