--- title: "chroma vs orama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chroma-core-chroma-vs-oramasearch-orama" tools: ["chroma-core-chroma", "oramasearch-orama"] --- # chroma vs orama Neutral, constraint-first comparison with live GitHub stats. | | [chroma](/tools/chroma-core-chroma.md) | [orama](/tools/oramasearch-orama.md) | | --- | --- | --- | | Tagline | Search infrastructure for AI | A complete search engine and RAG pipeline in your browser, server or edge network | | Stars | 28,728 | 10,470 | | Forks | 2,370 | 397 | | Open issues | 732 | 17 | | Language | Rust | TypeScript | | Adopt for | Chroma is an open-source data infrastructure specifically for AI tasks such as vector, hybrid, and full-text search built with Rust. It provides a minimalist API of only four functions to cover essential operations like: | Orama is a lightweight (<2kb) search engine and RAG pipeline written in TypeScript which offers full-text, vector, and hybrid search capabilities with various functionalities such as typo tolerance, geosearch, fields-boo | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chroma](/tools/chroma-core-chroma.md) | [orama](/tools/oramasearch-orama.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 732 | 17 | | Security scan | 8 low (8 low) | Not scanned | | Full report | [trust report](/tools/chroma-core-chroma/trust.md) | [trust report](/tools/oramasearch-orama/trust.md) | **Typed relationship:** chroma _(related)_ orama ## Decision facts: chroma - **Adopt for:** Chroma is an open-source data infrastructure specifically for AI tasks such as vector, hybrid, and full-text search built with Rust. It provides a minimalist API of only four functions to cover essential operations like: ## Decision facts: orama - **Pricing:** unknown - The repository does not provide clear information about the pricing model of Orama. It seems to be an open-source project with contributions encouraged, but specific commercial pricing details are not - **Adopt for:** Orama is a lightweight (<2kb) search engine and RAG pipeline written in TypeScript which offers full-text, vector, and hybrid search capabilities with various functionalities such as typo tolerance, geosearch, fields-boo ## Choose when ### Choose chroma if… - chroma is primarily Rust; orama is TypeScript. - License: chroma is Apache-2.0, orama is Other. - Graph edge: chroma is a typed related of orama - see the relationship row above. - Tags unique to chroma: agents, rust, rust-lang, database. - chroma ships Docker support for self-hosted deployment. - You need fast, efficient vector search capabilities integrated deeply into your AI workflows. ### Choose orama if… - orama is primarily TypeScript; chroma is Rust. - License: orama is Other, chroma is Apache-2.0. - Pricing: The repository does not provide clear information about the pricing model of Orama. It seems to be an open-source project with contributions encouraged, but specific commercial pricing details are not. - Graph edge: orama is a typed related of chroma - see the relationship row above. - Tags unique to orama: facets, full-text, fields boosting, vector-search. - Also covers Data & Retrieval. - Use Orama when you require a minimal overhead yet feature-rich search solution suitable for browser, server, or edge network environments. ## When NOT to use chroma - You require multi-language client support beyond Python and JavaScript. - Your use case demands a more extensive feature set and customization options than the core API provides, as Chroma's design philosophy is to keep things lean and straightforward. ## When NOT to use orama - Do not use Orama if you are strictly looking for a solution that operates without JavaScript/TypeScript environment since the library primarily deals with these environments. - Avoid using Orama if your project demands heavy reliance on non-text or structured data searches, such as JSON or complex database queries, as it is optimized for full-text and vector-based search. ## Common questions ### What is the difference between chroma and orama? chroma: Search infrastructure for AI. orama: A complete search engine and RAG pipeline in your browser, server or edge network. See the comparison table for live GitHub stats and shared categories. ### When should I choose chroma over orama? Choose chroma over orama when chroma is primarily Rust; orama is TypeScript; License: chroma is Apache-2.0, orama is Other; Graph edge: chroma is a typed related of orama - see the relationship row above; Tags unique to chroma: agents, rust, rust-lang, database; chroma ships Docker support for self-hosted deployment; You need fast, efficient vector search capabilities integrated deeply into your AI workflows. ### When should I choose orama over chroma? Choose orama over chroma when orama is primarily TypeScript; chroma is Rust; License: orama is Other, chroma is Apache-2.0; Pricing: The repository does not provide clear information about the pricing model of Orama. It seems to be an open-source project with contributions encouraged, but specific commercial pricing details are not; Graph edge: orama is a typed related of chroma - see the relationship row above; Tags unique to orama: facets, full-text, fields boosting, vector-search; Also covers Data & Retrieval; Use Orama when you require a minimal overhead yet feature-rich search solution suitable for browser, server, or edge network environments. ### When should I avoid chroma? You require multi-language client support beyond Python and JavaScript. Your use case demands a more extensive feature set and customization options than the core API provides, as Chroma's design philosophy is to keep things lean and straightforward. ### When should I avoid orama? Do not use Orama if you are strictly looking for a solution that operates without JavaScript/TypeScript environment since the library primarily deals with these environments. Avoid using Orama if your project demands heavy reliance on non-text or structured data searches, such as JSON or complex database queries, as it is optimized for full-text and vector-based search. ### Is chroma or orama more popular on GitHub? chroma has more GitHub stars (28,728 vs 10,470). Stars measure visibility, not whether either tool fits your constraints. ### Are chroma and orama open source? Yes - both are open-source projects on GitHub (chroma: Apache-2.0, orama: Other). ### Where can I find alternatives to chroma or orama? GraphCanon lists graph-backed alternatives at /tools/chroma-core-chroma/alternatives and /tools/oramasearch-orama/alternatives (/tools/chroma-core-chroma/alternatives.md, /tools/oramasearch-orama/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 /compare/chroma-core-chroma-vs-oramasearch-orama.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chroma or orama? chroma: Very active. orama: 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 chroma and orama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma: /tools/chroma-core-chroma/trust; orama: /tools/oramasearch-orama/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chroma-core-chroma`](/api/graphcanon/graph?tool=chroma-core-chroma) - 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/_