Comparison
fastembed-rs vs chromem-go
Verdict
Pick fastembed-rs if fastembed-rs is a Rust-based library that specializes in generating vector embeddings and performing local reranking to improve retrieval-augmented generation processes; 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.
Markdown twin · fastembed-rs alternatives · chromem-go alternatives
GraphCanon updated today
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Trust & integrity
| Signal | fastembed-rs | chromem-go |
|---|---|---|
| Maintenance | Active (8d since push) As of 4w · github_public_v1 | Slowing (96d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- fastembed-rs
- Rust library for generating vector embeddings and reranking locally.
- chromem-go
- Embeddable vector database for Go with Chroma-like interface.
Stars
- fastembed-rs
- 972
- chromem-go
- 1.0k
Forks
- fastembed-rs
- 134
- chromem-go
- 75
Open issues
- fastembed-rs
- 3
- chromem-go
- 18
Language
- fastembed-rs
- Rust
- chromem-go
- Go
Adopt for
- fastembed-rs
- fastembed-rs is a Rust-based library that specializes in generating vector embeddings and performing local reranking to improve retrieval-augmented generation processes.
- chromem-go
- 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
- fastembed-rs
- -
- chromem-go
- -
Runtime
- fastembed-rs
- -
- chromem-go
- -
License
- fastembed-rs
- Apache-2.0
- chromem-go
- MPL-2.0
Last pushed
- fastembed-rs
- Jul 15, 2026
- chromem-go
- May 17, 2026
Categories
- fastembed-rs
- Data & Retrieval, Vector Databases
- chromem-go
- Vector Databases
Trust and health
Maintenance
- fastembed-rs
- Active (82%)
- chromem-go
- Slowing (36%)
Days since push
- fastembed-rs
- 8d
- chromem-go
- 96d
Open issues (now)
- fastembed-rs
- 3
- chromem-go
- 18
Stars delta
- fastembed-rs
- Unknown
- chromem-go
- +14 (30d)
Open issues delta
- fastembed-rs
- Unknown
- chromem-go
- +1 (30d)
Full report
- fastembed-rs
- Trust report
- chromem-go
- Trust report
Choose fastembed-rs if…
- fastembed-rs is primarily Rust; chromem-go is Go.
- License: fastembed-rs is Apache-2.0, chromem-go is MPL-2.0.
- Tags unique to fastembed-rs: fastembed, rag, reranker, reranking.
- Also covers Data & Retrieval.
- When you seek high-performance embedding generation within an application written in Rust.
When NOT to use fastembed-rs
- Avoid if your project demands integration with languages other than Rust, as the tool does not offer bindings for other programming languages.
- Not recommended when the primary focus is on distributed or cloud-based embedding services, as fastembed-rs focuses specifically on local processing.
Choose chromem-go if…
- chromem-go is primarily Go; fastembed-rs is Rust.
- License: chromem-go is MPL-2.0, fastembed-rs is Apache-2.0.
- 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Anush008/fastembed-rs) · observed Jul 23, 2026
- GitHub forks (Anush008/fastembed-rs) · observed Jul 23, 2026
- Last push (Anush008/fastembed-rs) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (philippgille/chromem-go) · observed Aug 21, 2026
- GitHub forks (philippgille/chromem-go) · observed Aug 21, 2026
- Last push (philippgille/chromem-go) · observed May 17, 2026
- License file (MPL-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: fastembed-rs 972 · chromem-go 1.0k (synced Jul 23, 2026).
Common questions
- What is the difference between fastembed-rs and chromem-go?
- fastembed-rs: Rust library for generating vector embeddings and reranking locally.. 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 fastembed-rs over chromem-go?
- Choose fastembed-rs over chromem-go when fastembed-rs is primarily Rust; chromem-go is Go; License: fastembed-rs is Apache-2.0, chromem-go is MPL-2.0; Tags unique to fastembed-rs: fastembed, rag, reranker, reranking; Also covers Data & Retrieval; When you seek high-performance embedding generation within an application written in Rust.
- When should I choose chromem-go over fastembed-rs?
- Choose chromem-go over fastembed-rs when chromem-go is primarily Go; fastembed-rs is Rust; License: chromem-go is MPL-2.0, fastembed-rs is Apache-2.0; 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 fastembed-rs?
- Avoid if your project demands integration with languages other than Rust, as the tool does not offer bindings for other programming languages. Not recommended when the primary focus is on distributed or cloud-based embedding services, as fastembed-rs focuses specifically on local processing.
- 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 fastembed-rs or chromem-go more popular on GitHub?
- chromem-go has more GitHub stars (1,047 vs 972). Stars measure visibility, not whether either tool fits your constraints.
- Are fastembed-rs and chromem-go open source?
- Yes - both are open-source projects on GitHub (fastembed-rs: Apache-2.0, chromem-go: MPL-2.0).
- Where can I find alternatives to fastembed-rs or chromem-go?
- GraphCanon lists graph-backed alternatives at fastembed-rs alternatives and chromem-go alternatives (fastembed-rs markdown twin, chromem-go markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, fastembed-rs or chromem-go?
- fastembed-rs: Active. 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 fastembed-rs and chromem-go?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed-rs trust report; chromem-go trust report.