---
title: "awesome-vector-search vs skills"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/currentslab-awesome-vector-search-vs-qdrant-skills"
tools: ["currentslab-awesome-vector-search", "qdrant-skills"]
---

# awesome-vector-search vs skills

*GraphCanon updated Oct 9, 2026*

## 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.

[awesome-vector-search](https://github.com/currentslab/awesome-vector-search) reports 1.6k GitHub stars, 133 forks, and 26 open issues, last pushed Jul 6, 2026. [skills](https://skills.qdrant.tech) has 253 stars, 30 forks, and 8 open issues, last pushed Oct 8, 2026. Figures are from public GitHub metadata via [awesome-vector-search's repository](https://github.com/currentslab/awesome-vector-search) and [skills's repository](https://github.com/qdrant/skills).

| | [awesome-vector-search](/tools/currentslab-awesome-vector-search.md) | [skills](/tools/qdrant-skills.md) |
| --- | --- | --- |
| Tagline | Collections of vector search related libraries, service and research papers | Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration. |
| Stars | 1,588 | 253 |
| Forks | 133 | 30 |
| Open issues | 26 | 8 |
| Language | - | Python |
| Adopt for | Curated collection of vector search-related resources including libraries, services, and research papers. | Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Vector Databases | AI Agents, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [awesome-vector-search](/tools/currentslab-awesome-vector-search.md) | [skills](/tools/qdrant-skills.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 76d | 0d |
| Open issues (now) | 26 | 8 |
| Stars delta | +12 (30d) | +23 (30d) |
| Open issues delta | +12 (30d) | -2 (30d) |
| Full report | [trust report](/tools/currentslab-awesome-vector-search/trust.md) | [trust report](/tools/qdrant-skills/trust.md) |

## Decision facts: awesome-vector-search

- **Adopt for:** Curated collection of vector search-related resources including libraries, services, and research papers.

## Decision facts: skills

- **Adopt for:** Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more.

## Choose when

### 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.

### 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 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 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

## 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](/tools/currentslab-awesome-vector-search/alternatives) and [skills alternatives](/tools/qdrant-skills/alternatives) ([awesome-vector-search markdown twin](/tools/currentslab-awesome-vector-search/alternatives.md), [skills markdown twin](/tools/qdrant-skills/alternatives.md)), 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](/compare/currentslab-awesome-vector-search-vs-qdrant-skills.md) 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](/tools/currentslab-awesome-vector-search/trust); [skills trust report](/tools/qdrant-skills/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=currentslab-awesome-vector-search`](/api/graphcanon/graph?tool=currentslab-awesome-vector-search)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_