--- title: "aquila vs skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-qdrant-skills" tools: ["aquila-network-aquila", "qdrant-skills"] --- # aquila vs skills *GraphCanon updated Aug 6, 2026* ## Verdict Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick skills if skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [skills](https://skills.qdrant.tech) has 220 stars, 26 forks, and 17 open issues, last pushed Aug 5, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [skills's repository](https://github.com/qdrant/skills). | | [aquila](/tools/aquila-network-aquila.md) | [skills](/tools/qdrant-skills.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration. | | Stars | 379 | 220 | | Forks | 26 | 26 | | Open issues | 13 | 17 | | Language | HTML | Shell | | Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [skills](/tools/qdrant-skills.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 817d | 0d | | Open issues (now) | 13 | 17 | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/qdrant-skills/trust.md) | ## Decision facts: aquila - **Adopt for:** Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. ## Decision facts: skills - **Adopt for:** Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. ## Choose when ### Choose aquila if… - aquila is primarily HTML; skills is Shell. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors. - Also covers Data & Retrieval. - When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary ### Choose skills if… - skills is primarily Shell; aquila is HTML. - 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 aquila - If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration - In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide ## 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 aquila and skills? aquila: Efficient Neural Search Engine. 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 aquila over skills? Choose aquila over skills when aquila is primarily HTML; skills is Shell; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Data & Retrieval; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary. ### When should I choose skills over aquila? Choose skills over aquila when skills is primarily Shell; aquila is HTML; 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 aquila? If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide ### 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 aquila or skills more popular on GitHub? aquila has more GitHub stars (379 vs 220). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and skills open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or skills? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [skills alternatives](/tools/qdrant-skills/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/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/aquila-network-aquila-vs-qdrant-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or skills? aquila: Dormant. 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 aquila and skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [skills trust report](/tools/qdrant-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aquila-network-aquila`](/api/graphcanon/graph?tool=aquila-network-aquila) - 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/_