Comparison
awesome-vector-search vs skills
Verdict
Pick awesome-vector-search if curated collection of vector search-related resources including libraries, services, and research papers; pick skills if skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more.
Markdown twin · awesome-vector-search alternatives · skills alternatives
GraphCanon updated Oct 9, 2026
9views this month
vs
Trust & integrity
| Signal | awesome-vector-search | skills |
|---|---|---|
| Maintenance | Steady (76d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Oct 9, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 9, 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
- awesome-vector-search
- Collections of vector search related libraries, service and research papers
- skills
- Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration.
Stars
- awesome-vector-search
- 1.6k
- skills
- 253
Forks
- awesome-vector-search
- 133
- skills
- 30
Open issues
- awesome-vector-search
- 26
- skills
- 8
Language
- awesome-vector-search
- -
- skills
- Python
Adopt for
- awesome-vector-search
- Curated collection of vector search-related resources including libraries, services, and research papers.
- skills
- Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more.
Persona
- awesome-vector-search
- -
- skills
- -
Runtime
- awesome-vector-search
- -
- skills
- -
License
- awesome-vector-search
- MIT
- skills
- Apache-2.0
Last pushed
- awesome-vector-search
- Jul 6, 2026
- skills
- Oct 8, 2026
Categories
- awesome-vector-search
- Vector Databases
- skills
- AI Agents, Vector Databases
Trust and health
Maintenance
- awesome-vector-search
- Steady (60%)
- skills
- Very active (96%)
Days since push
- awesome-vector-search
- 76d
- skills
- 0d
Open issues (now)
- awesome-vector-search
- 26
- skills
- 8
Stars delta
- awesome-vector-search
- +12 (30d)
- skills
- +23 (30d)
Open issues delta
- awesome-vector-search
- +12 (30d)
- skills
- -2 (30d)
Full report
- awesome-vector-search
- Trust report
- skills
- Trust report
Choose awesome-vector-search if…
- License: awesome-vector-search is MIT, skills is Apache-2.0.
- Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning.
- You need a comprehensive overview of vector search technology.
When NOT to use awesome-vector-search
- Require real-time vector search service implementation details outside listed libraries.
- Seeking detailed code tutorials rather than a list of resources.
Choose skills if…
- License: skills is Apache-2.0, awesome-vector-search is MIT.
- Tags unique to skills: agent-skills, ai-agents, embeddings, hybrid-search.
- Also covers AI Agents.
- Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors
When NOT to use skills
- Your Qdrant instance is performing well with fewer than a million vectors
- Looking for help beyond vector search, such as database type selection or general AI agent tasks
- Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (currentslab/awesome-vector-search) · observed Sep 20, 2026
- GitHub forks (currentslab/awesome-vector-search) · observed Sep 20, 2026
- Last push (currentslab/awesome-vector-search) · observed Jul 6, 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 (qdrant/skills) · observed Oct 9, 2026
- GitHub forks (qdrant/skills) · observed Oct 9, 2026
- Last push (qdrant/skills) · observed Oct 8, 2026
- License file (Apache-2.0) · observed Oct 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-vector-search 1.6k · skills 253 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-vector-search and skills?
- awesome-vector-search: Collections of vector search related libraries, service and research papers. skills: Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-vector-search over skills?
- Choose awesome-vector-search over skills when License: awesome-vector-search is MIT, skills is Apache-2.0; Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning; You need a comprehensive overview of vector search technology.
- When should I choose skills over awesome-vector-search?
- Choose skills over awesome-vector-search when License: skills is Apache-2.0, awesome-vector-search is MIT; Tags unique to skills: agent-skills, ai-agents, embeddings, hybrid-search; Also covers AI Agents; Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors.
- When should I avoid awesome-vector-search?
- Require real-time vector search service implementation details outside listed libraries. Seeking detailed code tutorials rather than a list of resources.
- When should I avoid skills?
- Your Qdrant instance is performing well with fewer than a million vectors Looking for help beyond vector search, such as database type selection or general AI agent tasks Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration
- Is awesome-vector-search or skills more popular on GitHub?
- awesome-vector-search has more GitHub stars (1,588 vs 253). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-vector-search and skills open source?
- Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, skills: Apache-2.0).
- Where can I find alternatives to awesome-vector-search or skills?
- GraphCanon lists graph-backed alternatives at awesome-vector-search alternatives and skills alternatives (awesome-vector-search markdown twin, skills 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, awesome-vector-search or skills?
- awesome-vector-search: Steady. skills: 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 awesome-vector-search and skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-search trust report; skills trust report.