Comparison
fastembed-rs vs meilisearch
Verdict
Pick fastembed-rs when license: fastembed-rs is Apache-2.0, meilisearch is Other; pick meilisearch when license: meilisearch is Other, fastembed-rs is Apache-2.0.
Markdown twin · fastembed-rs alternatives · meilisearch alternatives
GraphCanon updated today
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Trust & integrity
| Signal | fastembed-rs | meilisearch |
|---|---|---|
| Maintenance | Active (10d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- fastembed-rs
- Rust library for generating vector embeddings, reranking locally!
- meilisearch
- A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Stars
- fastembed-rs
- 958
- meilisearch
- 58k
Forks
- fastembed-rs
- 133
- meilisearch
- 2.6k
Open issues
- fastembed-rs
- 2
- meilisearch
- 310
Language
- fastembed-rs
- Rust
- meilisearch
- Rust
Adopt for
- fastembed-rs
- -
- meilisearch
- Meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches.
Persona
- fastembed-rs
- -
- meilisearch
- -
Runtime
- fastembed-rs
- -
- meilisearch
- -
License
- fastembed-rs
- Apache-2.0
- meilisearch
- Other
Last pushed
- fastembed-rs
- Jun 30, 2026
- meilisearch
- Jul 9, 2026
Categories
- fastembed-rs
- Vector Databases, LLM Frameworks, Data & Retrieval
- meilisearch
- Vector Databases, Data & Retrieval
Trust and health
Maintenance
- fastembed-rs
- Active (82%)
- meilisearch
- Very active (96%)
Days since push
- fastembed-rs
- 10d
- meilisearch
- 1d
Open issues (now)
- fastembed-rs
- 2
- meilisearch
- 310
Owner type
- fastembed-rs
- User
- meilisearch
- Organization
Full report
- fastembed-rs
- Trust report
- meilisearch
- Trust report
Choose fastembed-rs if…
- License: fastembed-rs is Apache-2.0, meilisearch is Other.
- Tags unique to fastembed-rs: embeddings, fastembed, reranker, rag.
- Also covers LLM Frameworks.
When NOT to use fastembed-rs
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Choose meilisearch if…
- License: meilisearch is Other, fastembed-rs is Apache-2.0.
- Tags unique to meilisearch: app-search, full-text-search, ai, enterprise-search.
- meilisearch ships Docker support for self-hosted deployment.
- - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
When NOT to use meilisearch
- - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb
- - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Anush008/fastembed-rs) · observed Jul 11, 2026
- GitHub forks (Anush008/fastembed-rs) · observed Jul 11, 2026
- Last push (Anush008/fastembed-rs) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (meilisearch/meilisearch) · observed Jul 11, 2026
- GitHub forks (meilisearch/meilisearch) · observed Jul 11, 2026
- Last push (meilisearch/meilisearch) · observed Jul 9, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fastembed-rs 958 · meilisearch 58k (synced Jul 11, 2026).
Common questions
- What is the difference between fastembed-rs and meilisearch?
- fastembed-rs: Rust library for generating vector embeddings, reranking locally!. meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose fastembed-rs over meilisearch?
- Choose fastembed-rs over meilisearch when License: fastembed-rs is Apache-2.0, meilisearch is Other; Tags unique to fastembed-rs: embeddings, fastembed, reranker, rag; Also covers LLM Frameworks.
- When should I choose meilisearch over fastembed-rs?
- Choose meilisearch over fastembed-rs when License: meilisearch is Other, fastembed-rs is Apache-2.0; Tags unique to meilisearch: app-search, full-text-search, ai, enterprise-search; meilisearch ships Docker support for self-hosted deployment; - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
- When should I avoid fastembed-rs?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- When should I avoid meilisearch?
- - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios.
- Is fastembed-rs or meilisearch more popular on GitHub?
- meilisearch has more GitHub stars (58,493 vs 958). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed-rs and meilisearch open source?
- Yes - both are open-source projects on GitHub (fastembed-rs: Apache-2.0, meilisearch: Other).
- Where can I find alternatives to fastembed-rs or meilisearch?
- GraphCanon lists graph-backed alternatives at fastembed-rs alternatives and meilisearch alternatives (fastembed-rs markdown twin, meilisearch 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, fastembed-rs or meilisearch?
- fastembed-rs: Active. meilisearch: 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 fastembed-rs and meilisearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed-rs trust report; meilisearch trust report.