Comparison
search vs EmbedAnything
Verdict
Pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework; pick EmbedAnything if embedAnything is a Rust-based tool focused on highly performant and modular operations for inference, ingestion, and indexing of large language models, designed with memory safety and production-readiness in mind.
Markdown twin · search alternatives · EmbedAnything alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | search | EmbedAnything |
|---|---|---|
| Maintenance | Slowing (169d since push) As of 1d · github_public_v1 | Active (9d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 3d · 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
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
- EmbedAnything
- Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust
Stars
- search
- 558
- EmbedAnything
- 1.3k
Forks
- search
- 24
- EmbedAnything
- 143
Open issues
- search
- 5
- EmbedAnything
- 21
Language
- search
- Go
- EmbedAnything
- Rust
Adopt for
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
- EmbedAnything
- EmbedAnything is a Rust-based tool focused on highly performant and modular operations for inference, ingestion, and indexing of large language models, designed with memory safety and production-readiness in mind.
Persona
- search
- -
- EmbedAnything
- -
Runtime
- search
- -
- EmbedAnything
- -
License
- search
- MIT
- EmbedAnything
- Apache-2.0
Last pushed
- search
- Mar 6, 2026
- EmbedAnything
- Aug 12, 2026
Categories
- search
- Data & Retrieval, Vector Databases
- EmbedAnything
- Data & Retrieval, Inference & Serving, Vector Databases
Trust and health
Maintenance
- search
- Slowing (36%)
- EmbedAnything
- Active (82%)
Days since push
- search
- 169d
- EmbedAnything
- 9d
Open issues (now)
- search
- 5
- EmbedAnything
- 21
Stars delta
- search
- +3 (30d)
- EmbedAnything
- +18 (30d)
Open issues delta
- search
- 0 (30d)
- EmbedAnything
- -2 (30d)
Owner type
- search
- User
- EmbedAnything
- Organization
Full report
- search
- Trust report
- EmbedAnything
- Trust report
Choose search if…
- search is primarily Go; EmbedAnything is Rust.
- License: search is MIT, EmbedAnything is Apache-2.0.
- Tags unique to search: bert, embeddings, gguf, gpu.
- Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go
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
Choose EmbedAnything if…
- EmbedAnything is primarily Rust; search is Go.
- License: EmbedAnything is Apache-2.0, search is MIT.
- Tags unique to EmbedAnything: cloud, generative-ai, hacktoberfest, high-performance.
- Also covers Inference & Serving.
- EmbedAnything ships Docker support for self-hosted deployment.
- - When you require high performance and memory safety for inference tasks due to its Rust foundation.
When NOT to use EmbedAnything
- - In scenarios requiring direct Python support without additional bridging tools, since EmbedAnything's primary language is Rust.
- - If you need a tool heavily optimized for edge computing where minimal memory usage trumps safety and performance considerations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kelindar/search) · observed Aug 23, 2026
- GitHub forks (kelindar/search) · observed Aug 23, 2026
- Last push (kelindar/search) · observed Mar 6, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (StarlightSearch/EmbedAnything) · observed Aug 21, 2026
- GitHub forks (StarlightSearch/EmbedAnything) · observed Aug 21, 2026
- Last push (StarlightSearch/EmbedAnything) · observed Aug 12, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: search 558 · EmbedAnything 1.3k (synced Aug 23, 2026).
Common questions
- What is the difference between search and EmbedAnything?
- search: Go library for embedded vector search and semantic embeddings with llamacpp. EmbedAnything: Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust. See the comparison table for live GitHub stats and shared categories.
- When should I choose search over EmbedAnything?
- Choose search over EmbedAnything when search is primarily Go; EmbedAnything is Rust; License: search is MIT, EmbedAnything is Apache-2.0; Tags unique to search: bert, embeddings, gguf, gpu; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I choose EmbedAnything over search?
- Choose EmbedAnything over search when EmbedAnything is primarily Rust; search is Go; License: EmbedAnything is Apache-2.0, search is MIT; Tags unique to EmbedAnything: cloud, generative-ai, hacktoberfest, high-performance; Also covers Inference & Serving; EmbedAnything ships Docker support for self-hosted deployment; - When you require high performance and memory safety for inference tasks due to its Rust foundation.
- 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
- When should I avoid EmbedAnything?
- - In scenarios requiring direct Python support without additional bridging tools, since EmbedAnything's primary language is Rust. - If you need a tool heavily optimized for edge computing where minimal memory usage trumps safety and performance considerations.
- Is search or EmbedAnything more popular on GitHub?
- EmbedAnything has more GitHub stars (1,304 vs 558). Stars measure visibility, not whether either tool fits your constraints.
- Are search and EmbedAnything open source?
- Yes - both are open-source projects on GitHub (search: MIT, EmbedAnything: Apache-2.0).
- Where can I find alternatives to search or EmbedAnything?
- GraphCanon lists graph-backed alternatives at search alternatives and EmbedAnything alternatives (search markdown twin, EmbedAnything 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, search or EmbedAnything?
- search: Slowing. EmbedAnything: 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 search and EmbedAnything?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; EmbedAnything trust report.