Comparison
meilisearch vs weaviate
Verdict
Pick meilisearch if 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; pick weaviate if weaviate is an open-source vector database with strong support for hybrid searches and scalable cloud-native deployments.
Markdown twin · meilisearch alternatives · weaviate alternatives
GraphCanon updated today
Trust & integrity
| Signal | meilisearch | weaviate |
|---|---|---|
| Maintenance | Very active (6d since push) As of today · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- meilisearch
- A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- weaviate
- Open-source vector database for storing objects and vectors with structured filtering
Stars
- meilisearch
- 59k
- weaviate
- 17k
Forks
- meilisearch
- 2.7k
- weaviate
- 1.4k
Open issues
- meilisearch
- 311
- weaviate
- 620
Language
- meilisearch
- Rust
- weaviate
- Go
Adopt for
- 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.
- weaviate
- Weaviate is an open-source vector database with strong support for hybrid searches and scalable cloud-native deployments.
Persona
- meilisearch
- -
- weaviate
- -
Runtime
- meilisearch
- -
- weaviate
- -
License
- meilisearch
- Other
- weaviate
- BSD-3-Clause
Last pushed
- meilisearch
- Aug 14, 2026
- weaviate
- Aug 1, 2026
Categories
- meilisearch
- Data & Retrieval, Vector Databases
- weaviate
- Data & Retrieval, Vector Databases
Trust and health
Days since push
- meilisearch
- 6d
- weaviate
- 1d
Open issues (now)
- meilisearch
- 311
- weaviate
- 620
Stars delta
- meilisearch
- +352 (30d)
- weaviate
- Unknown
Open issues delta
- meilisearch
- -8 (30d)
- weaviate
- Unknown
OSV dependency advisories
- meilisearch
- No lockfile (source not queried)
- weaviate
- Published findings
Full report
- meilisearch
- Trust report
- weaviate
- Trust report
Typed relationship
Choose meilisearch if…
- meilisearch is primarily Rust; weaviate is Go.
- License: meilisearch is Other, weaviate is BSD-3-Clause.
- Meilisearch and Weaviate have an alternative relationship in the context of providing search functionalities for applications, albeit with different focuses. Meilisearch is a search engine API that emphasizes user-friendly and AI-powered hybrid search capabilities across multiple platforms, while Weaviate is an open-source vector database specifically designed to support scalable semantic search,矢
- Tags unique to meilisearch: ai, api, app-search, database.
- - 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.
Choose weaviate if…
- weaviate is primarily Go; meilisearch is Rust.
- License: weaviate is BSD-3-Clause, meilisearch is Other.
- Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations..
- Meilisearch and Weaviate have an alternative relationship in the context of providing search functionalities for applications, albeit with different focuses. Meilisearch is a search engine API that emphasizes user-friendly and AI-powered hybrid search capabilities across multiple platforms, while Weaviate is an open-source vector database specifically designed to support scalable semantic search,矢
- Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hybrid-search, information-retrieval.
- When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.
When NOT to use weaviate
- If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs.
- When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (meilisearch/meilisearch) · observed Aug 21, 2026
- GitHub forks (meilisearch/meilisearch) · observed Aug 21, 2026
- Last push (meilisearch/meilisearch) · observed Aug 14, 2026
- License file (Other) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (weaviate/weaviate) · observed Aug 2, 2026
- GitHub forks (weaviate/weaviate) · observed Aug 2, 2026
- Last push (weaviate/weaviate) · observed Aug 1, 2026
- License file (BSD-3-Clause) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: meilisearch 59k · weaviate 17k (synced Aug 21, 2026).
Common questions
- What is the difference between meilisearch and weaviate?
- meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.. weaviate: Open-source vector database for storing objects and vectors with structured filtering. See the comparison table for live GitHub stats and shared categories.
- When should I choose meilisearch over weaviate?
- Choose meilisearch over weaviate when meilisearch is primarily Rust; weaviate is Go; License: meilisearch is Other, weaviate is BSD-3-Clause; Meilisearch and Weaviate have an alternative relationship in the context of providing search functionalities for applications, albeit with different focuses. Meilisearch is a search engine API that emphasizes user-friendly and AI-powered hybrid search capabilities across multiple platforms, while Weaviate is an open-source vector database specifically designed to support scalable semantic search,矢; Tags unique to meilisearch: ai, api, app-search, database; - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
- When should I choose weaviate over meilisearch?
- Choose weaviate over meilisearch when weaviate is primarily Go; meilisearch is Rust; License: weaviate is BSD-3-Clause, meilisearch is Other; Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations.; Meilisearch and Weaviate have an alternative relationship in the context of providing search functionalities for applications, albeit with different focuses. Meilisearch is a search engine API that emphasizes user-friendly and AI-powered hybrid search capabilities across multiple platforms, while Weaviate is an open-source vector database specifically designed to support scalable semantic search,矢; Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hybrid-search, information-retrieval; When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.
- 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.
- When should I avoid weaviate?
- If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs. When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.
- Is meilisearch or weaviate more popular on GitHub?
- meilisearch has more GitHub stars (59,034 vs 16,681). Stars measure visibility, not whether either tool fits your constraints.
- Are meilisearch and weaviate open source?
- Yes - both are open-source projects on GitHub (meilisearch: Other, weaviate: BSD-3-Clause).
- Where can I find alternatives to meilisearch or weaviate?
- GraphCanon lists graph-backed alternatives at meilisearch alternatives and weaviate alternatives (meilisearch markdown twin, weaviate 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, meilisearch or weaviate?
- meilisearch: Very active. weaviate: 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 meilisearch and weaviate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: meilisearch trust report; weaviate trust report.