--- title: "jvector vs search" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datastax-jvector-vs-kelindar-search" tools: ["datastax-jvector", "kelindar-search"] --- # jvector vs search *GraphCanon updated Sep 20, 2026* ## Verdict Pick jvector if java-based embedded vector search engine focused on efficient similarity and K-nearest neighbor (KNN) searches; pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework. [jvector](https://github.com/datastax/jvector) reports 1.8k GitHub stars, 157 forks, and 53 open issues, last pushed Sep 19, 2026. [search](https://github.com/kelindar/search) has 559 stars, 24 forks, and 5 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [jvector's repository](https://github.com/datastax/jvector) and [search's repository](https://github.com/kelindar/search). | | [jvector](/tools/datastax-jvector.md) | [search](/tools/kelindar-search.md) | | --- | --- | --- | | Tagline | JVector: the most advanced embedded vector search engine | Go library for embedded vector search and semantic embeddings with llamacpp | | Stars | 1,750 | 559 | | Forks | 157 | 24 | | Open issues | 53 | 5 | | Language | Java | Go | | Adopt for | Java-based embedded vector search engine focused on efficient similarity and K-nearest neighbor (KNN) searches. | search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jvector](/tools/datastax-jvector.md) | [search](/tools/kelindar-search.md) | | --- | --- | --- | | Open issues (now) | 53 | 5 | | Stars delta | +14 (30d) | +4 (30d) | | Open issues delta | +9 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/datastax-jvector/trust.md) | [trust report](/tools/kelindar-search/trust.md) | ## Decision facts: jvector - **Adopt for:** Java-based embedded vector search engine focused on efficient similarity and K-nearest neighbor (KNN) searches. ## Decision facts: search - **Adopt for:** search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework. ## Choose when ### Choose jvector if… - jvector is primarily Java; search is Go. - License: jvector is Apache-2.0, search is MIT. - Tags unique to jvector: ann, java, knn, machine-learning. - Requires Java runtime environment for seamless integration into existing applications ### Choose search if… - search is primarily Go; jvector is Java. - License: search is MIT, jvector is Apache-2.0. - Tags unique to search: ai, bert, embeddings, gguf. - Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go ## When NOT to use jvector - Seeking a standalone database system that requires minimal developer control over search logic - In need of real-time data streaming capabilities or large-scale distributed searches beyond embedded use ## When NOT to use search - Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities - Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution ## Common questions ### What is the difference between jvector and search? jvector: JVector: the most advanced embedded vector search engine. search: Go library for embedded vector search and semantic embeddings with llamacpp. See the comparison table for live GitHub stats and shared categories. ### When should I choose jvector over search? Choose jvector over search when jvector is primarily Java; search is Go; License: jvector is Apache-2.0, search is MIT; Tags unique to jvector: ann, java, knn, machine-learning; Requires Java runtime environment for seamless integration into existing applications. ### When should I choose search over jvector? Choose search over jvector when search is primarily Go; jvector is Java; License: search is MIT, jvector is Apache-2.0; Tags unique to search: ai, bert, embeddings, gguf; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go. ### When should I avoid jvector? Seeking a standalone database system that requires minimal developer control over search logic In need of real-time data streaming capabilities or large-scale distributed searches beyond embedded use ### When should I avoid search? Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution ### Is jvector or search more popular on GitHub? jvector has more GitHub stars (1,750 vs 559). Stars measure visibility, not whether either tool fits your constraints. ### Are jvector and search open source? Yes - both are open-source projects on GitHub (jvector: Apache-2.0, search: MIT). ### Where can I find alternatives to jvector or search? GraphCanon lists graph-backed alternatives at [jvector alternatives](/tools/datastax-jvector/alternatives) and [search alternatives](/tools/kelindar-search/alternatives) ([jvector markdown twin](/tools/datastax-jvector/alternatives.md), [search markdown twin](/tools/kelindar-search/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/datastax-jvector-vs-kelindar-search.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jvector or search? jvector: Very active. search: 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 jvector and search? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jvector trust report](/tools/datastax-jvector/trust); [search trust report](/tools/kelindar-search/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=datastax-jvector`](/api/graphcanon/graph?tool=datastax-jvector) - 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/_