--- title: "marqo vs cherche" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/marqo-ai-marqo-vs-raphaelsty-cherche" tools: ["marqo-ai-marqo", "raphaelsty-cherche"] --- # marqo vs cherche *GraphCanon updated Aug 23, 2026* ## Verdict Pick marqo if e-commerce semantic search tool; pick cherche if cherche is a Python library for implementing neural search capabilities. [marqo](https://www.marqo.ai/) reports 5.0k GitHub stars, 235 forks, and 189 open issues, last pushed Jul 31, 2026. [cherche](https://github.com/raphaelsty/cherche) has 332 stars, 14 forks, and 4 open issues, last pushed Jun 1, 2024. Figures are from public GitHub metadata via [marqo's repository](https://github.com/marqo-ai/marqo) and [cherche's repository](https://github.com/raphaelsty/cherche). | | [marqo](/tools/marqo-ai-marqo.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Tagline | AI-native ecommerce search platform | Neural Search | | Stars | 5,017 | 332 | | Forks | 235 | 14 | | Open issues | 189 | 4 | | Language | Python | Python | | Adopt for | E-commerce semantic search tool | Cherche is a Python library for implementing neural search capabilities. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Data & Retrieval | Data & Retrieval, Evaluation & Observability, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [marqo](/tools/marqo-ai-marqo.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 812d | | Open issues (now) | 189 | 4 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/marqo-ai-marqo/trust.md) | [trust report](/tools/raphaelsty-cherche/trust.md) | ## Decision facts: marqo - **Adopt for:** E-commerce semantic search tool ## Decision facts: cherche - **Adopt for:** Cherche is a Python library for implementing neural search capabilities. ## Choose when ### Choose marqo if… - License: marqo is Apache-2.0, cherche is MIT. - Tags unique to marqo: ecommerce, multi-modal, search-engine. - Specifically for e-commerce platforms aiming to enhance the shopping experience via AI-driven personalization ### Choose cherche if… - License: cherche is MIT, marqo is Apache-2.0. - Tags unique to cherche: bm25, flashtext, information-retrieval, natural-language-processing. - Also covers Evaluation & Observability, Vector Databases. - Cherche is a Python library for implementing neural search capabilities. ## When NOT to use marqo - For projects needing active community support as Marqo's open-source version is deprecated - When real-time updates or bug fixes are critical to operations since the tool no longer receives updates ## When NOT to use cherche - Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between marqo and cherche? marqo: AI-native ecommerce search platform. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories. ### When should I choose marqo over cherche? Choose marqo over cherche when License: marqo is Apache-2.0, cherche is MIT; Tags unique to marqo: ecommerce, multi-modal, search-engine; Specifically for e-commerce platforms aiming to enhance the shopping experience via AI-driven personalization. ### When should I choose cherche over marqo? Choose cherche over marqo when License: cherche is MIT, marqo is Apache-2.0; Tags unique to cherche: bm25, flashtext, information-retrieval, natural-language-processing; Also covers Evaluation & Observability, Vector Databases; Cherche is a Python library for implementing neural search capabilities. ### When should I avoid marqo? For projects needing active community support as Marqo's open-source version is deprecated When real-time updates or bug fixes are critical to operations since the tool no longer receives updates ### When should I avoid cherche? Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is marqo or cherche more popular on GitHub? marqo has more GitHub stars (5,017 vs 332). Stars measure visibility, not whether either tool fits your constraints. ### Are marqo and cherche open source? Yes - both are open-source projects on GitHub (marqo: Apache-2.0, cherche: MIT). ### Where can I find alternatives to marqo or cherche? GraphCanon lists graph-backed alternatives at [marqo alternatives](/tools/marqo-ai-marqo/alternatives) and [cherche alternatives](/tools/raphaelsty-cherche/alternatives) ([marqo markdown twin](/tools/marqo-ai-marqo/alternatives.md), [cherche markdown twin](/tools/raphaelsty-cherche/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/marqo-ai-marqo-vs-raphaelsty-cherche.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, marqo or cherche? marqo: Very active. cherche: 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 marqo and cherche? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [marqo trust report](/tools/marqo-ai-marqo/trust); [cherche trust report](/tools/raphaelsty-cherche/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=marqo-ai-marqo`](/api/graphcanon/graph?tool=marqo-ai-marqo) - 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/_