--- title: "aquila vs semtools" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-run-llama-semtools" tools: ["aquila-network-aquila", "run-llama-semtools"] --- # aquila vs semtools *GraphCanon updated Aug 22, 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 semtools if semtools is a Rust-based tool that provides command-line capabilities for semantic searching and parsing documents. It leverages embeddings and static embedding techniques to offer robust data retrieval functionalities. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [semtools](https://github.com/run-llama/semtools) has 1.9k stars, 142 forks, and 6 open issues, last pushed Mar 11, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [semtools's repository](https://github.com/run-llama/semtools). | | [aquila](/tools/aquila-network-aquila.md) | [semtools](/tools/run-llama-semtools.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | Semantic search and document parsing tools for the command line | | Stars | 379 | 1,855 | | Forks | 26 | 142 | | Open issues | 13 | 6 | | Language | HTML | Rust | | Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | semtools is a Rust-based tool that provides command-line capabilities for semantic searching and parsing documents. It leverages embeddings and static embedding techniques to offer robust data retrieval functionalities. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [semtools](/tools/run-llama-semtools.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 817d | 163d | | Open issues (now) | 13 | 6 | | Stars delta | Unknown | +17 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/run-llama-semtools/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: semtools - **Pricing:** freemium - Freely available under the MIT license, with possible premium features not covered by open-source. - **Adopt for:** semtools is a Rust-based tool that provides command-line capabilities for semantic searching and parsing documents. It leverages embeddings and static embedding techniques to offer robust data retrieval functionalities. ## Choose when ### Choose aquila if… - aquila is primarily HTML; semtools is Rust. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors. - 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 semtools if… - semtools is primarily Rust; aquila is HTML. - Pricing: Freely available under the MIT license, with possible premium features not covered by open-source.. - Tags unique to semtools: cli, embeddings, parser, rust. - - When you require fast, statically typed document and search functionality via the command line built in Rust. ## 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 semtools - - If your workflow does not frequently involve command-line operations for managing search capabilities on documents, as semtools is explicitly designed for such usage. - - When there's no plan or necessity to integrate with Rust-based ecosystems, since semtools might require additional effort in setting up a compatible environment. ## Common questions ### What is the difference between aquila and semtools? aquila: Efficient Neural Search Engine. semtools: Semantic search and document parsing tools for the command line. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over semtools? Choose aquila over semtools when aquila is primarily HTML; semtools is Rust; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; 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 semtools over aquila? Choose semtools over aquila when semtools is primarily Rust; aquila is HTML; Pricing: Freely available under the MIT license, with possible premium features not covered by open-source.; Tags unique to semtools: cli, embeddings, parser, rust; - When you require fast, statically typed document and search functionality via the command line built in Rust. ### 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 semtools? - If your workflow does not frequently involve command-line operations for managing search capabilities on documents, as semtools is explicitly designed for such usage. - When there's no plan or necessity to integrate with Rust-based ecosystems, since semtools might require additional effort in setting up a compatible environment. ### Is aquila or semtools more popular on GitHub? semtools has more GitHub stars (1,855 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and semtools open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or semtools? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [semtools alternatives](/tools/run-llama-semtools/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [semtools markdown twin](/tools/run-llama-semtools/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-run-llama-semtools.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or semtools? aquila: Dormant. semtools: Slowing. 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 semtools? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [semtools trust report](/tools/run-llama-semtools/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/_