--- title: "cherche vs vald" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/raphaelsty-cherche-vs-vdaas-vald" tools: ["raphaelsty-cherche", "vdaas-vald"] --- # cherche vs vald *GraphCanon updated Aug 23, 2026* ## Verdict Pick cherche if cherche is a Python library for implementing neural search capabilities; pick vald if vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes. [cherche](https://github.com/raphaelsty/cherche) reports 332 GitHub stars, 14 forks, and 4 open issues, last pushed Jun 1, 2024. [vald](https://vald.vdaas.org) has 1.7k stars, 95 forks, and 146 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [cherche's repository](https://github.com/raphaelsty/cherche) and [vald's repository](https://github.com/vdaas/vald). | | [cherche](/tools/raphaelsty-cherche.md) | [vald](/tools/vdaas-vald.md) | | --- | --- | --- | | Tagline | Neural Search | A Highly Scalable Distributed Vector Search Engine | | Stars | 332 | 1,714 | | Forks | 14 | 95 | | Open issues | 4 | 146 | | Language | Python | Go | | Adopt for | Cherche is a Python library for implementing neural search capabilities. | Vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Evaluation & Observability, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cherche](/tools/raphaelsty-cherche.md) | [vald](/tools/vdaas-vald.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 812d | 0d | | Open issues (now) | 4 | 146 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/raphaelsty-cherche/trust.md) | [trust report](/tools/vdaas-vald/trust.md) | ## Decision facts: cherche - **Adopt for:** Cherche is a Python library for implementing neural search capabilities. ## Decision facts: vald - **Adopt for:** Vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes. ## Choose when ### Choose cherche if… - cherche is primarily Python; vald is Go. - License: cherche is MIT, vald is Apache-2.0. - Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning. - Also covers Evaluation & Observability. - Cherche is a Python library for implementing neural search capabilities. ### Choose vald if… - vald is primarily Go; cherche is Python. - License: vald is Apache-2.0, cherche is MIT. - Tags unique to vald: anng, approximate-nearest-neighbor-search, cloud-native, distributed-systems. - Requires high-performance searches in a distributed system ## 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. ## When NOT to use vald - Need lower scalability vector search solutions - Cannot use Kubernetes 1.19 or above - Do not have AVX2 support in the system environment ## Common questions ### What is the difference between cherche and vald? cherche: Neural Search. vald: A Highly Scalable Distributed Vector Search Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose cherche over vald? Choose cherche over vald when cherche is primarily Python; vald is Go; License: cherche is MIT, vald is Apache-2.0; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities. ### When should I choose vald over cherche? Choose vald over cherche when vald is primarily Go; cherche is Python; License: vald is Apache-2.0, cherche is MIT; Tags unique to vald: anng, approximate-nearest-neighbor-search, cloud-native, distributed-systems; Requires high-performance searches in a distributed system. ### 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. ### When should I avoid vald? Need lower scalability vector search solutions Cannot use Kubernetes 1.19 or above Do not have AVX2 support in the system environment ### Is cherche or vald more popular on GitHub? vald has more GitHub stars (1,714 vs 332). Stars measure visibility, not whether either tool fits your constraints. ### Are cherche and vald open source? Yes - both are open-source projects on GitHub (cherche: MIT, vald: Apache-2.0). ### Where can I find alternatives to cherche or vald? GraphCanon lists graph-backed alternatives at [cherche alternatives](/tools/raphaelsty-cherche/alternatives) and [vald alternatives](/tools/vdaas-vald/alternatives) ([cherche markdown twin](/tools/raphaelsty-cherche/alternatives.md), [vald markdown twin](/tools/vdaas-vald/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/raphaelsty-cherche-vs-vdaas-vald.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cherche or vald? cherche: Dormant. vald: 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 cherche and vald? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cherche trust report](/tools/raphaelsty-cherche/trust); [vald trust report](/tools/vdaas-vald/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=raphaelsty-cherche`](/api/graphcanon/graph?tool=raphaelsty-cherche) - 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/_