--- title: "awesome-vector-database vs pgvecto.rs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dangkhoasdc-awesome-vector-database-vs-tensorchord-pgvecto-rs" tools: ["dangkhoasdc-awesome-vector-database", "tensorchord-pgvecto-rs"] --- # awesome-vector-database vs pgvecto.rs *GraphCanon updated Aug 21, 2026* ## Verdict Pick awesome-vector-database if a curated list of works on vector databases and high-dimensional structure searching without any implementation details; pick pgvecto.rs if pgvecto.rs extends PostgreSQL for efficient vector searches using Rust. [awesome-vector-database](https://github.com/dangkhoasdc/awesome-vector-database) reports 355 GitHub stars, 27 forks, and 6 open issues, last pushed Jul 20, 2026. [pgvecto.rs](https://docs.vectorchord.ai/getting-started/overview.html) has 2.2k stars, 86 forks, and 76 open issues, last pushed Feb 26, 2025. Figures are from public GitHub metadata via [awesome-vector-database's repository](https://github.com/dangkhoasdc/awesome-vector-database) and [pgvecto.rs's repository](https://github.com/tensorchord/pgvecto.rs). | | [awesome-vector-database](/tools/dangkhoasdc-awesome-vector-database.md) | [pgvecto.rs](/tools/tensorchord-pgvecto-rs.md) | | --- | --- | --- | | Tagline | A curated list of works on high dimensional structure/vector search and databases | Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres | | Stars | 355 | 2,183 | | Forks | 27 | 86 | | Open issues | 6 | 76 | | Language | - | Rust | | Adopt for | A curated list of works on vector databases and high-dimensional structure searching without any implementation details. | pgvecto.rs extends PostgreSQL for efficient vector searches using Rust. | | Persona | - | - | | Runtime | - | - | | License | CC0-1.0 | Apache-2.0 | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-vector-database](/tools/dangkhoasdc-awesome-vector-database.md) | [pgvecto.rs](/tools/tensorchord-pgvecto-rs.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 540d | | Open issues (now) | 6 | 76 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/dangkhoasdc-awesome-vector-database/trust.md) | [trust report](/tools/tensorchord-pgvecto-rs/trust.md) | ## Decision facts: awesome-vector-database - **Adopt for:** A curated list of works on vector databases and high-dimensional structure searching without any implementation details. ## Decision facts: pgvecto.rs - **Adopt for:** pgvecto.rs extends PostgreSQL for efficient vector searches using Rust. ## Choose when ### Choose awesome-vector-database if… - License: awesome-vector-database is CC0-1.0, pgvecto.rs is Apache-2.0. - Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, search-engine. - If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field. ### Choose pgvecto.rs if… - License: pgvecto.rs is Apache-2.0, awesome-vector-database is CC0-1.0. - Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest. - Need integration with PostgreSQL for vector searches ## When NOT to use awesome-vector-database - To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools. - If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides. ## When NOT to use pgvecto.rs - Preferring a database system without PostgreSQL dependencies - Looking for a standalone solution, as pgvecto.rs is a PostgreSQL extension ## Common questions ### What is the difference between awesome-vector-database and pgvecto.rs? awesome-vector-database: A curated list of works on high dimensional structure/vector search and databases. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-vector-database over pgvecto.rs? Choose awesome-vector-database over pgvecto.rs when License: awesome-vector-database is CC0-1.0, pgvecto.rs is Apache-2.0; Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, search-engine; If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field. ### When should I choose pgvecto.rs over awesome-vector-database? Choose pgvecto.rs over awesome-vector-database when License: pgvecto.rs is Apache-2.0, awesome-vector-database is CC0-1.0; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; Need integration with PostgreSQL for vector searches. ### When should I avoid awesome-vector-database? To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools. If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides. ### When should I avoid pgvecto.rs? Preferring a database system without PostgreSQL dependencies Looking for a standalone solution, as pgvecto.rs is a PostgreSQL extension ### Is awesome-vector-database or pgvecto.rs more popular on GitHub? pgvecto.rs has more GitHub stars (2,183 vs 355). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-vector-database and pgvecto.rs open source? Yes - both are open-source projects on GitHub (awesome-vector-database: CC0-1.0, pgvecto.rs: Apache-2.0). ### Where can I find alternatives to awesome-vector-database or pgvecto.rs? GraphCanon lists graph-backed alternatives at [awesome-vector-database alternatives](/tools/dangkhoasdc-awesome-vector-database/alternatives) and [pgvecto.rs alternatives](/tools/tensorchord-pgvecto-rs/alternatives) ([awesome-vector-database markdown twin](/tools/dangkhoasdc-awesome-vector-database/alternatives.md), [pgvecto.rs markdown twin](/tools/tensorchord-pgvecto-rs/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/dangkhoasdc-awesome-vector-database-vs-tensorchord-pgvecto-rs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-vector-database or pgvecto.rs? awesome-vector-database: Very active. pgvecto.rs: Dormant. 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-database and pgvecto.rs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-vector-database trust report](/tools/dangkhoasdc-awesome-vector-database/trust); [pgvecto.rs trust report](/tools/tensorchord-pgvecto-rs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dangkhoasdc-awesome-vector-database`](/api/graphcanon/graph?tool=dangkhoasdc-awesome-vector-database) - 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/_