--- title: "aquila vs MiniSearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-felladrin-minisearch" tools: ["aquila-network-aquila", "felladrin-minisearch"] --- # aquila vs MiniSearch *GraphCanon updated Aug 25, 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 MiniSearch if miniSearch is a minimalist web-search platform that integrates AI capabilities such as question answering and retrieval-augmented generation directly into browsers. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [MiniSearch](https://felladrin-minisearch.hf.space) has 581 stars, 66 forks, and 0 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [MiniSearch's repository](https://github.com/felladrin/MiniSearch). | | [aquila](/tools/aquila-network-aquila.md) | [MiniSearch](/tools/felladrin-minisearch.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | Minimalist web-searching platform featuring an AI assistant for browser-based queries. | | Stars | 379 | 581 | | Forks | 26 | 66 | | Open issues | 13 | 0 | | Language | HTML | TypeScript | | Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | MiniSearch is a minimalist web-search platform that integrates AI capabilities such as question answering and retrieval-augmented generation directly into browsers. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [MiniSearch](/tools/felladrin-minisearch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 817d | 0d | | Open issues (now) | 13 | 0 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | -31 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/felladrin-minisearch/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: MiniSearch - **Hosting:** unknown - The tool operates directly from the browser, suggesting it runs client-side; however, specifics on its model hosting are not provided in the repository. - **Requirements:** Dependencies on web browsers that support TypeScript and modern JavaScript features.; Access to online resources as the platform appears to rely on Internet connectivity for operation. - **Adopt for:** MiniSearch is a minimalist web-search platform that integrates AI capabilities such as question answering and retrieval-augmented generation directly into browsers. - **License detail:** Apache-2.0 ## Choose when ### Choose aquila if… - aquila is primarily HTML; MiniSearch is TypeScript. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors. - Also covers Vector Databases. - 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 MiniSearch if… - MiniSearch is primarily TypeScript; aquila is HTML. - The tool operates directly from the browser, suggesting it runs client-side; however, specifics on its model hosting are not provided in the repository. - Requirements: Dependencies on web browsers that support TypeScript and modern JavaScript features.; Access to online resources as the platform appears to rely on Internet connectivity for operation.. - Tags unique to MiniSearch: ai, ai-search-engine, artificial-intelligence, generative-ai. - Also covers Inference & Serving. - MiniSearch ships Docker support for self-hosted deployment. - When you require an efficient browser-based solution for web searches with built-in AI assistance, specifically designed to operate without relying on heavy server dependencies. ## 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 MiniSearch - In scenarios where extensive offline functionalities are required because MiniSearch operates directly from the browser and may not be viable for operations without internet connectivity. - If you need heavy customization of the AI-assisted features beyond what is provided, as MiniSearch offers a compact setup which might limit deep feature personalization. ## Common questions ### What is the difference between aquila and MiniSearch? aquila: Efficient Neural Search Engine. MiniSearch: Minimalist web-searching platform featuring an AI assistant for browser-based queries.. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over MiniSearch? Choose aquila over MiniSearch when aquila is primarily HTML; MiniSearch is TypeScript; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Vector Databases; 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 MiniSearch over aquila? Choose MiniSearch over aquila when MiniSearch is primarily TypeScript; aquila is HTML; The tool operates directly from the browser, suggesting it runs client-side; however, specifics on its model hosting are not provided in the repository; Requirements: Dependencies on web browsers that support TypeScript and modern JavaScript features.; Access to online resources as the platform appears to rely on Internet connectivity for operation.; Tags unique to MiniSearch: ai, ai-search-engine, artificial-intelligence, generative-ai; Also covers Inference & Serving; MiniSearch ships Docker support for self-hosted deployment; When you require an efficient browser-based solution for web searches with built-in AI assistance, specifically designed to operate without relying on heavy server dependencies. ### 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 MiniSearch? In scenarios where extensive offline functionalities are required because MiniSearch operates directly from the browser and may not be viable for operations without internet connectivity. If you need heavy customization of the AI-assisted features beyond what is provided, as MiniSearch offers a compact setup which might limit deep feature personalization. ### Is aquila or MiniSearch more popular on GitHub? MiniSearch has more GitHub stars (581 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and MiniSearch open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or MiniSearch? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [MiniSearch alternatives](/tools/felladrin-minisearch/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [MiniSearch markdown twin](/tools/felladrin-minisearch/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-felladrin-minisearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or MiniSearch? aquila: Dormant. MiniSearch: 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 MiniSearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [MiniSearch trust report](/tools/felladrin-minisearch/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/_