Comparison
swiss_army_llama vs search
Verdict
Pick swiss_army_llama if swiss_army_llama offers a versatile semantic text search FastAPI service with precomputed embeddings, similarity measures, and support for various file types via textract; pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
Markdown twin · swiss_army_llama alternatives · search alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | swiss_army_llama | search |
|---|---|---|
| Maintenance | Dormant (557d since push) As of Sep 8, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- swiss_army_llama
- A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
Stars
- swiss_army_llama
- 1.1k
- search
- 559
Forks
- swiss_army_llama
- 67
- search
- 24
Open issues
- swiss_army_llama
- 0
- search
- 5
Language
- swiss_army_llama
- Python
- search
- Go
Adopt for
- swiss_army_llama
- Swiss_army_llama offers a versatile semantic text search FastAPI service with precomputed embeddings, similarity measures, and support for various file types via textract.
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
Persona
- swiss_army_llama
- -
- search
- -
Runtime
- swiss_army_llama
- -
- search
- -
License
- swiss_army_llama
- -
- search
- MIT
Last pushed
- swiss_army_llama
- Feb 27, 2025
- search
- Sep 19, 2026
Categories
- swiss_army_llama
- Data & Retrieval, Vector Databases
- search
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- swiss_army_llama
- Dormant (18%)
- search
- Very active (96%)
Days since push
- swiss_army_llama
- 557d
- search
- 0d
Open issues (now)
- swiss_army_llama
- 0
- search
- 5
Stars delta
- swiss_army_llama
- -1 (30d)
- search
- +4 (30d)
OSV dependency advisories
- swiss_army_llama
- No published findings from this source as of 2026-07-11
- search
- No lockfile (source not queried)
Full report
- swiss_army_llama
- Trust report
- search
- Trust report
Choose swiss_army_llama if…
- swiss_army_llama is primarily Python; search is Go.
- Tags unique to swiss_army_llama: embedding-similarity, embedding-vectors, llama2.
- swiss_army_llama ships Docker support for self-hosted deployment.
- For projects requiring a comprehensive API solution that includes built-in support for diverse file formats like PDF, image, audio and more through textract
When NOT to use swiss_army_llama
- Avoid if your project is strictly focused on real-time embeddings calculation without leveraging precomputed data
- Not suitable for developers looking to avoid extensive system dependencies listed in its requirements
Choose search if…
- search is primarily Go; swiss_army_llama is Python.
- Tags unique to search: ai, bert, 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Dicklesworthstone/swiss_army_llama) · observed Sep 20, 2026
- GitHub forks (Dicklesworthstone/swiss_army_llama) · observed Sep 20, 2026
- Last push (Dicklesworthstone/swiss_army_llama) · observed Feb 27, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kelindar/search) · observed Sep 20, 2026
- GitHub forks (kelindar/search) · observed Sep 20, 2026
- Last push (kelindar/search) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: swiss_army_llama 1.1k · search 559 (synced Sep 20, 2026).
Common questions
- What is the difference between swiss_army_llama and search?
- swiss_army_llama: A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures. 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 swiss_army_llama over search?
- Choose swiss_army_llama over search when swiss_army_llama is primarily Python; search is Go; Tags unique to swiss_army_llama: embedding-similarity, embedding-vectors, llama2; swiss_army_llama ships Docker support for self-hosted deployment; For projects requiring a comprehensive API solution that includes built-in support for diverse file formats like PDF, image, audio and more through textract.
- When should I choose search over swiss_army_llama?
- Choose search over swiss_army_llama when search is primarily Go; swiss_army_llama is Python; Tags unique to search: ai, bert, gguf, gpu; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I avoid swiss_army_llama?
- Avoid if your project is strictly focused on real-time embeddings calculation without leveraging precomputed data Not suitable for developers looking to avoid extensive system dependencies listed in its requirements
- 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 swiss_army_llama or search more popular on GitHub?
- swiss_army_llama has more GitHub stars (1,055 vs 559). Stars measure visibility, not whether either tool fits your constraints.
- Are swiss_army_llama and search open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to swiss_army_llama or search?
- GraphCanon lists graph-backed alternatives at swiss_army_llama alternatives and search alternatives (swiss_army_llama markdown twin, search 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, swiss_army_llama or search?
- swiss_army_llama: Dormant. 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 swiss_army_llama and search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: swiss_army_llama trust report; search trust report.