Comparison
search vs SPTAG
Verdict
Pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework; pick SPTAG if sPTAG is optimal for developers and enterprises handling large-scale vector searches who need high-quality indexing with efficient serving mechanisms.
Markdown twin · search alternatives · SPTAG alternatives
GraphCanon updated Sep 20, 2026
7views this month
Trust & integrity
| Signal | search | SPTAG |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
- SPTAG
- Distributed ANN library for large-scale vector search
Stars
- search
- 559
- SPTAG
- 5.0k
Forks
- search
- 24
- SPTAG
- 622
Open issues
- search
- 5
- SPTAG
- 143
Language
- search
- Go
- SPTAG
- C++
Adopt for
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
- SPTAG
- SPTAG is optimal for developers and enterprises handling large-scale vector searches who need high-quality indexing with efficient serving mechanisms.
Persona
- search
- -
- SPTAG
- -
Runtime
- search
- -
- SPTAG
- -
License
- search
- MIT
- SPTAG
- MIT
Last pushed
- search
- Sep 19, 2026
- SPTAG
- Sep 18, 2026
Categories
- search
- Data & Retrieval, Vector Databases
- SPTAG
- Inference & Serving, Vector Databases
Trust and health
Days since push
- search
- 0d
- SPTAG
- 1d
Open issues (now)
- search
- 5
- SPTAG
- 143
Stars delta
- search
- +4 (30d)
- SPTAG
- +11 (30d)
Owner type
- search
- User
- SPTAG
- Organization
Full report
- search
- Trust report
- SPTAG
- Trust report
Choose search if…
- search is primarily Go; SPTAG is C++.
- Tags unique to search: ai, bert, embeddings, gguf.
- Also covers Data & Retrieval.
- 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 SPTAG if…
- SPTAG is primarily C++; search is Go.
- Pricing: SPTAG is open source and free to use under the MIT license. Advanced support or integrations may bear extra costs depending on commercial context..
- Requirements: Requires proficiency in C++ for optimal customization, though general usage can be managed with provided toolkits.; High infrastructure demands due to its distributed nature make efficient resource management a priority..
- Tags unique to SPTAG: approximate-nearest-neighbor-search, distributed-serving, fresh-update, neighborhood-graph.
- Also covers Inference & Serving.
- SPTAG ships Docker support for self-hosted deployment.
- If you are working on applications that require quick access to nearest neighborhood data in massive datasets, such as recommendation engines or image search systems.
When NOT to use SPTAG
- Avoid using SPTAG if your application does not benefit from distributed infrastructure and prefers simpler, single-machine deployments with less operational complexity.
- If the primary requirement of your project is a high level of exactness over speed in nearest neighbor detection, as SPTAG compromises on precision for faster query performance.
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 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 (microsoft/SPTAG) · observed Sep 20, 2026
- GitHub forks (microsoft/SPTAG) · observed Sep 20, 2026
- Last push (microsoft/SPTAG) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: search 559 · SPTAG 5.0k (synced Sep 20, 2026).
Common questions
- What is the difference between search and SPTAG?
- search: Go library for embedded vector search and semantic embeddings with llamacpp. SPTAG: Distributed ANN library for large-scale vector search. See the comparison table for live GitHub stats and shared categories.
- When should I choose search over SPTAG?
- Choose search over SPTAG when search is primarily Go; SPTAG is C++; Tags unique to search: ai, bert, embeddings, gguf; Also covers Data & Retrieval; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I choose SPTAG over search?
- Choose SPTAG over search when SPTAG is primarily C++; search is Go; Pricing: SPTAG is open source and free to use under the MIT license. Advanced support or integrations may bear extra costs depending on commercial context.; Requirements: Requires proficiency in C++ for optimal customization, though general usage can be managed with provided toolkits.; High infrastructure demands due to its distributed nature make efficient resource management a priority.; Tags unique to SPTAG: approximate-nearest-neighbor-search, distributed-serving, fresh-update, neighborhood-graph; Also covers Inference & Serving; SPTAG ships Docker support for self-hosted deployment; If you are working on applications that require quick access to nearest neighborhood data in massive datasets, such as recommendation engines or image search systems.
- 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 SPTAG?
- Avoid using SPTAG if your application does not benefit from distributed infrastructure and prefers simpler, single-machine deployments with less operational complexity. If the primary requirement of your project is a high level of exactness over speed in nearest neighbor detection, as SPTAG compromises on precision for faster query performance.
- Is search or SPTAG more popular on GitHub?
- SPTAG has more GitHub stars (5,018 vs 559). Stars measure visibility, not whether either tool fits your constraints.
- Are search and SPTAG open source?
- Yes - both are open-source projects on GitHub (search: MIT, SPTAG: MIT).
- Where can I find alternatives to search or SPTAG?
- GraphCanon lists graph-backed alternatives at search alternatives and SPTAG alternatives (search markdown twin, SPTAG 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 SPTAG?
- search: Very active. SPTAG: 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 search and SPTAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; SPTAG trust report.