{"data":{"node":{"slug":"postgresml-postgresml","name":"postgresml","tagline":"Postgres with GPUs for ML/AI apps","github_url":"https://github.com/postgresml/postgresml","owner":"postgresml","repo":"postgresml","owner_avatar_url":"https://avatars.githubusercontent.com/u/103390393?v=4","primary_language":"Rust","stars":6817,"forks":365,"topics":["ai","ann","approximate-nearest-neighbor-search","artificial-intelligence","classification","clustering","embeddings","forecasting","knn","llm","machine-learning","ml","postgres","rag","regression","sql","vector-database"],"archived":false,"github_pushed_at":"2025-07-01T12:26:02+00:00","maintenance_label":"Dormant","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/postgresml-postgresml","markdown_url":"https://www.graphcanon.com/tools/postgresml-postgresml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/postgresml-postgresml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=postgresml-postgresml"},"categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"ann","name":"ann"},{"slug":"approximate-nearest-neighbor-search","name":"approximate-nearest-neighbor-search"},{"slug":"classification","name":"classification"},{"slug":"clustering","name":"clustering"},{"slug":"embeddings","name":"embeddings"},{"slug":"forecasting","name":"forecasting"},{"slug":"knn","name":"knn"}],"edges":[{"type":"related","direction":"out","explanation":"GraphRag is a modular graph-based Retrieval-Augmented Generation system, and PostgresML can serve as its underlying database layer due to its machine learning capabilities.","successor_context":null,"tool":{"slug":"microsoft-graphrag","name":"graphrag","tagline":"A modular graph-based Retrieval-Augmented Generation (RAG) system","github_url":"https://github.com/microsoft/graphrag","owner":"microsoft","repo":"graphrag","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":36025,"forks":3796,"topics":["gpt","gpt-4","gpt4","graphrag","llm","llms","rag"],"archived":false,"github_pushed_at":"2026-09-16T17:15:35+00:00","maintenance_label":"Very active","stars_delta_30d":506,"url":"https://www.graphcanon.com/tools/microsoft-graphrag","markdown_url":"https://www.graphcanon.com/tools/microsoft-graphrag.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-graphrag","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-graphrag"}},{"type":"integrates_with","direction":"out","explanation":"PostgresML integrates with Hugging Face transformers for using various LLMs and models in an integrated database environment.","successor_context":null,"tool":{"slug":"huggingface-transformers","name":"transformers","tagline":"🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":166279,"forks":34619,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-09-18T08:16:29+00:00","maintenance_label":"Very active","stars_delta_30d":2158,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"}},{"type":"related","direction":"out","explanation":"Langchain-Chatchat builds local knowledge-based LLM RAG and Agent app which can potentially integrate with PostgresML for enhanced database operations related to AI applications.","successor_context":null,"tool":{"slug":"chatchat-space-langchain-chatchat","name":"Langchain-Chatchat","tagline":"Local knowledge-based LLM RAG and Agent app with Langchain","github_url":"https://github.com/chatchat-space/Langchain-Chatchat","owner":"chatchat-space","repo":"Langchain-Chatchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/139558948?v=4","primary_language":"Python","stars":38644,"forks":6265,"topics":["chatbot","chatchat","chatglm","chatgpt","embedding","faiss","fastchat","gpt","knowledge-base","langchain","langchain-chatglm","llama","llm","milvus","ollama","qwen","rag","retrieval-augmented-generation","streamlit","xinference"],"archived":false,"github_pushed_at":"2025-11-10T09:27:42+00:00","maintenance_label":"Slowing","stars_delta_30d":122,"url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat","markdown_url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chatchat-space-langchain-chatchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat"}},{"type":"related","direction":"out","explanation":"LangExtract uses LLMs for extracting structured information from text, which could potentially leverage PostgresML as a backend storage solution for ML models and operations.","successor_context":null,"tool":{"slug":"google-langextract","name":"langextract","tagline":"Python library for extracting structured information from unstructured text using LLMs","github_url":"https://github.com/google/langextract","owner":"google","repo":"langextract","owner_avatar_url":"https://avatars.githubusercontent.com/u/1342004?v=4","primary_language":"Python","stars":38614,"forks":2704,"topics":["gemini","gemini-ai","gemini-api","gemini-flash","gemini-pro","information-extration","large-language-models","llm","nlp","python","structured-data"],"archived":false,"github_pushed_at":"2026-09-13T18:57:36+00:00","maintenance_label":"Very active","stars_delta_30d":214,"url":"https://www.graphcanon.com/tools/google-langextract","markdown_url":"https://www.graphcanon.com/tools/google-langextract.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/google-langextract","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=google-langextract"}},{"type":"integrates_with","direction":"out","explanation":"Quivr provides opinionated Retrieval-Augmented Generation (RAG), which can integrate with PostgresML’s GPU-accelerated vector database for efficient RAG implementations.","successor_context":null,"tool":{"slug":"quivrhq-quivr","name":"quivr","tagline":"Opiniated RAG for integrating GenAI in your apps","github_url":"https://github.com/The-Vibe-Company/quivr","owner":"The-Vibe-Company","repo":"quivr","owner_avatar_url":"https://avatars.githubusercontent.com/u/252322352?v=4","primary_language":"Python","stars":39533,"forks":3731,"topics":["ai","api","chatbot","chatgpt","database","docker","framework","frontend","groq","html","javascript","llm","openai","postgresql","privacy","rag","react","security","typescript","vector"],"archived":false,"github_pushed_at":"2026-08-31T18:02:45+00:00","maintenance_label":"Active","stars_delta_30d":132,"url":"https://www.graphcanon.com/tools/quivrhq-quivr","markdown_url":"https://www.graphcanon.com/tools/quivrhq-quivr.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/quivrhq-quivr","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=quivrhq-quivr"}},{"type":"alternative","direction":"out","explanation":"Both postgresml and pgvecto.rs are scalable vector search solutions for PostgreSQL, addressing similar use cases in ML/AI applications but with possibly different implementations or features.","successor_context":null,"tool":{"slug":"tensorchord-pgvecto-rs","name":"pgvecto.rs","tagline":"Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres","github_url":"https://github.com/tensorchord/pgvecto.rs","owner":"tensorchord","repo":"pgvecto.rs","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Rust","stars":2186,"forks":86,"topics":["chatgpt","faiss","gpt","hacktoberfest","llm","nearest-neighbor-search","postgres","rust","vector","vector-database"],"archived":false,"github_pushed_at":"2025-02-26T14:11:43+00:00","maintenance_label":"Dormant","stars_delta_30d":7,"url":"https://www.graphcanon.com/tools/tensorchord-pgvecto-rs","markdown_url":"https://www.graphcanon.com/tools/tensorchord-pgvecto-rs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-pgvecto-rs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-pgvecto-rs"}},{"type":"alternative","direction":"out","explanation":"postgresml and pgvector both offer vector similarity search capabilities for PostgreSQL, providing alternatives for integrating ML/AI functionality within a relational database.","successor_context":null,"tool":{"slug":"pgvector-pgvector","name":"pgvector","tagline":"Open-source vector similarity search for Postgres","github_url":"https://github.com/pgvector/pgvector","owner":"pgvector","repo":"pgvector","owner_avatar_url":"https://avatars.githubusercontent.com/u/98363230?v=4","primary_language":"C","stars":23049,"forks":1325,"topics":["approximate-nearest-neighbor-search","nearest-neighbor-search"],"archived":false,"github_pushed_at":"2026-09-10T13:49:14+00:00","maintenance_label":"Active","stars_delta_30d":674,"url":"https://www.graphcanon.com/tools/pgvector-pgvector","markdown_url":"https://www.graphcanon.com/tools/pgvector-pgvector.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pgvector-pgvector","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pgvector-pgvector"}},{"type":"alternative","direction":"in","explanation":"Supabase and PostgresML both provide database solutions for AI applications, with PostgresML focusing on incorporating GPUs.","successor_context":null,"tool":{"slug":"supabase-supabase","name":"supabase","tagline":"The Postgres development platform.","github_url":"https://github.com/supabase/supabase","owner":"supabase","repo":"supabase","owner_avatar_url":"https://avatars.githubusercontent.com/u/54469796?v=4","primary_language":"TypeScript","stars":110364,"forks":14421,"topics":["ai","alternative","auth","database","deno","embeddings","example","firebase","nextjs","oauth2","pgvector","postgis","postgres","postgresql","postgrest","realtime","supabase","vectors","websockets"],"archived":false,"github_pushed_at":"2026-09-20T00:40:21+00:00","maintenance_label":"Very active","stars_delta_30d":3590,"url":"https://www.graphcanon.com/tools/supabase-supabase","markdown_url":"https://www.graphcanon.com/tools/supabase-supabase.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/supabase-supabase","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=supabase-supabase"}}],"neighbours":[{"slug":"supabase-supabase","name":"supabase","tagline":"The Postgres development platform.","github_url":"https://github.com/supabase/supabase","owner":"supabase","repo":"supabase","owner_avatar_url":"https://avatars.githubusercontent.com/u/54469796?v=4","primary_language":"TypeScript","stars":110364,"forks":14421,"topics":["ai","alternative","auth","database","deno","embeddings","example","firebase","nextjs","oauth2","pgvector","postgis","postgres","postgresql","postgrest","realtime","supabase","vectors","websockets"],"archived":false,"github_pushed_at":"2026-09-20T00:40:21+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/supabase-supabase","markdown_url":"https://www.graphcanon.com/tools/supabase-supabase.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/supabase-supabase","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=supabase-supabase","shared_categories":["data-retrieval"]},{"slug":"ottermind-chat2db","name":"Chat2DB","tagline":"Cross-platform database client and SQL workspace with AI query generation","github_url":"https://github.com/OtterMind/Chat2DB","owner":"OtterMind","repo":"Chat2DB","owner_avatar_url":"https://avatars.githubusercontent.com/u/131834193?v=4","primary_language":"Java","stars":28146,"forks":3034,"topics":["ai","clickhouse","database","database-client","database-gui","database-management","jdbc","llm","mcp","mongodb","mysql","oracle","postgresql","redis","sql","sql-client","sql-editor","sql-server","sqlite","text-to-sql"],"archived":false,"github_pushed_at":"2026-09-18T08:42:21+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/ottermind-chat2db","markdown_url":"https://www.graphcanon.com/tools/ottermind-chat2db.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ottermind-chat2db","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ottermind-chat2db","shared_categories":["data-retrieval"]},{"slug":"pgvector-pgvector","name":"pgvector","tagline":"Open-source vector similarity search for Postgres","github_url":"https://github.com/pgvector/pgvector","owner":"pgvector","repo":"pgvector","owner_avatar_url":"https://avatars.githubusercontent.com/u/98363230?v=4","primary_language":"C","stars":23049,"forks":1325,"topics":["approximate-nearest-neighbor-search","nearest-neighbor-search"],"archived":false,"github_pushed_at":"2026-09-10T13:49:14+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pgvector-pgvector","markdown_url":"https://www.graphcanon.com/tools/pgvector-pgvector.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pgvector-pgvector","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pgvector-pgvector","shared_categories":["vector-databases"]},{"slug":"databendlabs-databend","name":"databend","tagline":"All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.","github_url":"https://github.com/databendlabs/databend","owner":"databendlabs","repo":"databend","owner_avatar_url":"https://avatars.githubusercontent.com/u/80994548?v=4","primary_language":"Rust","stars":9444,"forks":897,"topics":["ai","bigdata","cloud-native","database","elasticsearch","geospatial","lakehouse","olap","rust","serverless","snowflake","sql","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-09-20T05:38:04+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/databendlabs-databend","markdown_url":"https://www.graphcanon.com/tools/databendlabs-databend.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/databendlabs-databend","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=databendlabs-databend","shared_categories":["vector-databases","data-retrieval"]},{"slug":"activeloopai-deeplake","name":"deeplake","tagline":"AI Data Runtime for Agents","github_url":"https://github.com/activeloopai/deeplake","owner":"activeloopai","repo":"deeplake","owner_avatar_url":"https://avatars.githubusercontent.com/u/34816118?v=4","primary_language":"C++","stars":9239,"forks":722,"topics":["agent","agentic-rag","ai","clawbot","computer-vision","datalake","deep-learning","filesystem","large-language-models","llm","memory","mlops","multimodal","openclaw","postgres","pytorch","rag","skill","vector-database"],"archived":false,"github_pushed_at":"2026-05-21T15:28:00+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/activeloopai-deeplake","markdown_url":"https://www.graphcanon.com/tools/activeloopai-deeplake.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/activeloopai-deeplake","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=activeloopai-deeplake","shared_categories":["model-training","vector-databases","data-retrieval"]},{"slug":"0xplaygrounds-rig","name":"rig","tagline":"Build modular and scalable LLM Applications in Rust","github_url":"https://github.com/0xPlaygrounds/rig","owner":"0xPlaygrounds","repo":"rig","owner_avatar_url":"https://avatars.githubusercontent.com/u/93353392?v=4","primary_language":"Rust","stars":8679,"forks":974,"topics":["agent","ai","artificial-intelligence","automation","generative-ai","large-language-model","llm","llmops","rust","scalable-ai"],"archived":false,"github_pushed_at":"2026-09-19T23:48:13+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/0xplaygrounds-rig","markdown_url":"https://www.graphcanon.com/tools/0xplaygrounds-rig.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/0xplaygrounds-rig","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=0xplaygrounds-rig","shared_categories":[]},{"slug":"pytorch-serve","name":"serve","tagline":"Serve, optimize and scale PyTorch models in production","github_url":"https://github.com/pytorch/serve","owner":"pytorch","repo":"serve","owner_avatar_url":"https://avatars.githubusercontent.com/u/21003710?v=4","primary_language":"Java","stars":4344,"forks":880,"topics":["cpu","deep-learning","docker","gpu","kubernetes","machine-learning","metrics","mlops","optimization","pytorch","serving"],"archived":true,"github_pushed_at":"2025-08-06T19:17:08+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/pytorch-serve","markdown_url":"https://www.graphcanon.com/tools/pytorch-serve.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pytorch-serve","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pytorch-serve","shared_categories":[]},{"slug":"pykeio-ort","name":"ort","tagline":"Fast ML inference and training for ONNX models in Rust","github_url":"https://github.com/pykeio/ort","owner":"pykeio","repo":"ort","owner_avatar_url":"https://avatars.githubusercontent.com/u/62268720?v=4","primary_language":"Rust","stars":2515,"forks":271,"topics":["ai","ai-training","fine-tuning","inference","machine-learning","onnx","onnxruntime","rust"],"archived":false,"github_pushed_at":"2026-09-16T09:56:02+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/pykeio-ort","markdown_url":"https://www.graphcanon.com/tools/pykeio-ort.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pykeio-ort","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pykeio-ort","shared_categories":["model-training"]},{"slug":"tensorchord-pgvecto-rs","name":"pgvecto.rs","tagline":"Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres","github_url":"https://github.com/tensorchord/pgvecto.rs","owner":"tensorchord","repo":"pgvecto.rs","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Rust","stars":2186,"forks":86,"topics":["chatgpt","faiss","gpt","hacktoberfest","llm","nearest-neighbor-search","postgres","rust","vector","vector-database"],"archived":false,"github_pushed_at":"2025-02-26T14:11:43+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/tensorchord-pgvecto-rs","markdown_url":"https://www.graphcanon.com/tools/tensorchord-pgvecto-rs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-pgvecto-rs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-pgvecto-rs","shared_categories":["vector-databases"]},{"slug":"eosphoros-ai-db-gpt-hub","name":"DB-GPT-Hub","tagline":"Repository for DB-GPT models, datasets, and techniques aimed at Text-to-SQL performance enhancement.","github_url":"https://github.com/eosphoros-ai/DB-GPT-Hub","owner":"eosphoros-ai","repo":"DB-GPT-Hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/140580304?v=4","primary_language":"Python","stars":2014,"forks":250,"topics":["database","datasets","fine-tuning","gpt","hacktoberfest","llm","nl2sql","sql","text-to-sql","text2sql"],"archived":false,"github_pushed_at":"2025-07-02T03:39:31+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/eosphoros-ai-db-gpt-hub","markdown_url":"https://www.graphcanon.com/tools/eosphoros-ai-db-gpt-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eosphoros-ai-db-gpt-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eosphoros-ai-db-gpt-hub","shared_categories":["model-training"]},{"slug":"asg017-sqlite-vss","name":"sqlite-vss","tagline":"A SQLite extension for efficient vector search based on Faiss","github_url":"https://github.com/asg017/sqlite-vss","owner":"asg017","repo":"sqlite-vss","owner_avatar_url":"https://avatars.githubusercontent.com/u/15178711?v=4","primary_language":"C++","stars":2001,"forks":75,"topics":["faiss","sqlite","sqlite-extension","vector-search"],"archived":false,"github_pushed_at":"2024-05-05T20:00:16+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/asg017-sqlite-vss","markdown_url":"https://www.graphcanon.com/tools/asg017-sqlite-vss.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/asg017-sqlite-vss","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=asg017-sqlite-vss","shared_categories":["vector-databases"]},{"slug":"pixeltable-pixeltable","name":"pixeltable","tagline":"Unified multimodal backend for AI data apps","github_url":"https://github.com/pixeltable/pixeltable","owner":"pixeltable","repo":"pixeltable","owner_avatar_url":"https://avatars.githubusercontent.com/u/160283145?v=4","primary_language":"Python","stars":1622,"forks":223,"topics":["agents","ai","backend","computer-vision","data-science","database","genai","llm","machine-learning","multimodal","postgres","python","rag","vector-database"],"archived":false,"github_pushed_at":"2026-09-20T04:51:17+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/pixeltable-pixeltable","markdown_url":"https://www.graphcanon.com/tools/pixeltable-pixeltable.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pixeltable-pixeltable","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pixeltable-pixeltable","shared_categories":["model-training","data-retrieval"]}]}}