--- title: "tinyvector vs chromem-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/m1guelpf-tinyvector-vs-philippgille-chromem-go" tools: ["m1guelpf-tinyvector", "philippgille-chromem-go"] --- # tinyvector vs chromem-go *GraphCanon updated Aug 23, 2026* ## Verdict Pick tinyvector if lightweight Rust-based embedding storage for efficiency; pick chromem-go if chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities. [tinyvector](https://crates.io/crates/tinyvector) reports 439 GitHub stars, 25 forks, and 8 open issues, last pushed Dec 28, 2023. [chromem-go](https://github.com/philippgille/chromem-go) has 1.0k stars, 75 forks, and 18 open issues, last pushed May 17, 2026. Figures are from public GitHub metadata via [tinyvector's repository](https://github.com/m1guelpf/tinyvector) and [chromem-go's repository](https://github.com/philippgille/chromem-go). | | [tinyvector](/tools/m1guelpf-tinyvector.md) | [chromem-go](/tools/philippgille-chromem-go.md) | | --- | --- | --- | | Tagline | A tiny embedding database in pure Rust. | Embeddable vector database for Go with Chroma-like interface. | | Stars | 439 | 1,047 | | Forks | 25 | 75 | | Open issues | 8 | 18 | | Language | Rust | Go | | Adopt for | Lightweight Rust-based embedding storage for efficiency. | Chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities | | Persona | - | - | | Runtime | - | - | | License | MIT | MPL-2.0 | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tinyvector](/tools/m1guelpf-tinyvector.md) | [chromem-go](/tools/philippgille-chromem-go.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 969d | 96d | | Open issues (now) | 8 | 18 | | Stars delta | +3 (30d) | +14 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/m1guelpf-tinyvector/trust.md) | [trust report](/tools/philippgille-chromem-go/trust.md) | ## Decision facts: tinyvector - **Adopt for:** Lightweight Rust-based embedding storage for efficiency. ## Decision facts: chromem-go - **Requirements:** Min 0.5 GB RAM - **Adopt for:** Chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities ## Choose when ### Choose tinyvector if… - tinyvector is primarily Rust; chromem-go is Go. - License: tinyvector is MIT, chromem-go is MPL-2.0. - Tags unique to tinyvector: machine-learning, rust, search-engines, similarity-search. - tinyvector ships Docker support for self-hosted deployment. - When developing applications requiring efficient similarity searches over embeddings that are written in Rust or integrate well with Rust systems. ### Choose chromem-go if… - chromem-go is primarily Go; tinyvector is Rust. - License: chromem-go is MPL-2.0, tinyvector is MIT. - Requirements: Min 0.5 GB RAM. - Tags unique to chromem-go: chroma, cosine-similarity, in-memory, llms. - If you are building applications in Go and require an in-memory vector database without additional third-party libraries. ## When NOT to use tinyvector - For heavy-scale distributed vector operations as tinyvector is designed to be lightweight and might not scale as expected compared to larger solutions like Faiss or PQ. ## When NOT to use chromem-go - Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options. - Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library. ## Common questions ### What is the difference between tinyvector and chromem-go? tinyvector: A tiny embedding database in pure Rust.. chromem-go: Embeddable vector database for Go with Chroma-like interface.. See the comparison table for live GitHub stats and shared categories. ### When should I choose tinyvector over chromem-go? Choose tinyvector over chromem-go when tinyvector is primarily Rust; chromem-go is Go; License: tinyvector is MIT, chromem-go is MPL-2.0; Tags unique to tinyvector: machine-learning, rust, search-engines, similarity-search; tinyvector ships Docker support for self-hosted deployment; When developing applications requiring efficient similarity searches over embeddings that are written in Rust or integrate well with Rust systems. ### When should I choose chromem-go over tinyvector? Choose chromem-go over tinyvector when chromem-go is primarily Go; tinyvector is Rust; License: chromem-go is MPL-2.0, tinyvector is MIT; Requirements: Min 0.5 GB RAM; Tags unique to chromem-go: chroma, cosine-similarity, in-memory, llms; If you are building applications in Go and require an in-memory vector database without additional third-party libraries. ### When should I avoid tinyvector? For heavy-scale distributed vector operations as tinyvector is designed to be lightweight and might not scale as expected compared to larger solutions like Faiss or PQ. ### When should I avoid chromem-go? Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options. Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library. ### Is tinyvector or chromem-go more popular on GitHub? chromem-go has more GitHub stars (1,047 vs 439). Stars measure visibility, not whether either tool fits your constraints. ### Are tinyvector and chromem-go open source? Yes - both are open-source projects on GitHub (tinyvector: MIT, chromem-go: MPL-2.0). ### Where can I find alternatives to tinyvector or chromem-go? GraphCanon lists graph-backed alternatives at [tinyvector alternatives](/tools/m1guelpf-tinyvector/alternatives) and [chromem-go alternatives](/tools/philippgille-chromem-go/alternatives) ([tinyvector markdown twin](/tools/m1guelpf-tinyvector/alternatives.md), [chromem-go markdown twin](/tools/philippgille-chromem-go/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/m1guelpf-tinyvector-vs-philippgille-chromem-go.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tinyvector or chromem-go? tinyvector: Dormant. chromem-go: Slowing. 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 tinyvector and chromem-go? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tinyvector trust report](/tools/m1guelpf-tinyvector/trust); [chromem-go trust report](/tools/philippgille-chromem-go/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=m1guelpf-tinyvector`](/api/graphcanon/graph?tool=m1guelpf-tinyvector) - 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/_