{"data":{"node":{"slug":"crate-crate","name":"crate","tagline":"Distributed and Scalable SQL Database for Near Real-Time Data Analysis","github_url":"https://github.com/crate/crate","owner":"crate","repo":"crate","owner_avatar_url":"https://avatars.githubusercontent.com/u/4048232?v=4","primary_language":"Java","stars":4436,"forks":617,"topics":["analytics","big-data","cratedb","database","dbms","distributed","distributed-database","distributed-sql-database","elasticsearch","industrial-iot","iot","iot-analytics","iot-database","lucene","olap","postgresql","sql","time-series","tsdb","vector-database"],"archived":false,"github_pushed_at":"2026-09-18T22:45:49+00:00","maintenance_label":"Very active","stars_delta_30d":20,"url":"https://www.graphcanon.com/tools/crate-crate","markdown_url":"https://www.graphcanon.com/tools/crate-crate.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/crate-crate","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=crate-crate"},"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":"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":"analytics","name":"analytics"},{"slug":"big-data","name":"big-data"},{"slug":"cratedb","name":"cratedb"},{"slug":"database","name":"database"},{"slug":"distributed","name":"distributed"},{"slug":"iot-analytics","name":"iot-analytics"},{"slug":"lucene","name":"lucene"},{"slug":"postgresql","name":"postgresql"}],"edges":[{"type":"alternative","direction":"out","explanation":"TiDB and CrateDB are both scalable distributed SQL databases, with TiDB offering HTAP capabilities. They solve similar problems in the domain of high-availability and scale-out data storage management.","successor_context":null,"tool":{"slug":"pingcap-tidb","name":"tidb","tagline":"Scalable, cloud-native database with ACID transactions and vector search support.","github_url":"https://github.com/pingcap/tidb","owner":"pingcap","repo":"tidb","owner_avatar_url":"https://avatars.githubusercontent.com/u/11855343?v=4","primary_language":"Go","stars":40446,"forks":6223,"topics":["agent","agent-context","agent-memory","agentic","ai","cloud-native","database","distributed-database","distributed-transactions","go","hacktoberfest","htap","memory","mysql","mysql-compatibility","scale","serverless","sql","tidb"],"archived":false,"github_pushed_at":"2026-08-18T23:24:30+00:00","maintenance_label":"Very active","stars_delta_30d":134,"url":"https://www.graphcanon.com/tools/pingcap-tidb","markdown_url":"https://www.graphcanon.com/tools/pingcap-tidb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pingcap-tidb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pingcap-tidb"}},{"type":"alternative","direction":"out","explanation":"Milvus is a high-performance vector database for scalable ANN search similar to CrateDB, but specialized in vector data. They can be considered alternatives depending on the specific requirements of scalability with focus on vector or SQL queries.","successor_context":null,"tool":{"slug":"milvus-io-milvus","name":"milvus","tagline":"Milvus is a high-performance, cloud-native vector database for scalable vector ANN search","github_url":"https://github.com/milvus-io/milvus","owner":"milvus-io","repo":"milvus","owner_avatar_url":"https://avatars.githubusercontent.com/u/51735404?v=4","primary_language":"Go","stars":46152,"forks":4257,"topics":["anns","cloud-native","diskann","distributed","embedding-database","embedding-similarity","embedding-store","faiss","golang","hnsw","image-search","llm","nearest-neighbor-search","rag","vector-database","vector-search","vector-similarity","vector-store"],"archived":false,"github_pushed_at":"2026-09-18T07:23:36+00:00","maintenance_label":"Very active","stars_delta_30d":750,"url":"https://www.graphcanon.com/tools/milvus-io-milvus","markdown_url":"https://www.graphcanon.com/tools/milvus-io-milvus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/milvus-io-milvus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=milvus-io-milvus"}},{"type":"related","direction":"out","explanation":"Both CrateDB and PGVector are related to PostgreSQL-compatible databases with vector support. However, they serve distinct purposes: CrateDB is a full SQL database designed for real-time analytics and distributed environments, while PGVector adds vector search capabilities to Postgres.","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":"integrates_with","direction":"out","explanation":"CrateDB can integrate with MeiliSearch for full-text search capabilities beyond what its PostgreSQL compatibility might offer, enhancing the document indexing and querying experience.","successor_context":null,"tool":{"slug":"meilisearch-meilisearch","name":"meilisearch","tagline":"A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.","github_url":"https://github.com/meilisearch/meilisearch","owner":"meilisearch","repo":"meilisearch","owner_avatar_url":"https://avatars.githubusercontent.com/u/43250847?v=4","primary_language":"Rust","stars":59345,"forks":2713,"topics":["ai","api","app-search","database","enterprise-search","faceting","full-text-search","fuzzy-search","geosearch","hybrid-search","instantsearch","search","search-as-you-type","search-engine","semantic-search","site-search","typo-tolerance","vector-database","vector-search","vectors"],"archived":false,"github_pushed_at":"2026-09-17T13:32:29+00:00","maintenance_label":"Very active","stars_delta_30d":663,"url":"https://www.graphcanon.com/tools/meilisearch-meilisearch","markdown_url":"https://www.graphcanon.com/tools/meilisearch-meilisearch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/meilisearch-meilisearch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=meilisearch-meilisearch"}}],"neighbours":[{"slug":"firecrawl-firecrawl","name":"firecrawl","tagline":"The web data API to search, scrape, and interact at scale.","github_url":"https://github.com/firecrawl/firecrawl","owner":"firecrawl","repo":"firecrawl","owner_avatar_url":"https://avatars.githubusercontent.com/u/135057108?v=4","primary_language":"TypeScript","stars":181801,"forks":9842,"topics":["ai","ai-agents","ai-crawler","ai-scraping","ai-search","crawler","data-extraction","html-to-markdown","llm","markdown","scraper","scraping","web-crawler","web-data","web-data-extraction","web-scraper","web-scraping","web-search","webscraping"],"archived":false,"github_pushed_at":"2026-09-18T06:47:03+00:00","maintenance_label":"Very active","stars_delta_30d":14007,"url":"https://www.graphcanon.com/tools/firecrawl-firecrawl","markdown_url":"https://www.graphcanon.com/tools/firecrawl-firecrawl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/firecrawl-firecrawl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=firecrawl-firecrawl","shared_categories":["data-retrieval"]},{"slug":"langgenius-dify","name":"dify","tagline":"Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.","github_url":"https://github.com/langgenius/dify","owner":"langgenius","repo":"dify","owner_avatar_url":"https://avatars.githubusercontent.com/u/127165244?v=4","primary_language":"TypeScript","stars":156243,"forks":24675,"topics":["agent","agentic-ai","agentic-framework","agentic-workflow","ai","automation","claude","deepseek","genai","gpt","llm","low-code","mcp","nextjs","no-code","openai","python","skills","workflow"],"archived":false,"github_pushed_at":"2026-09-18T08:23:40+00:00","maintenance_label":"Very active","stars_delta_30d":4518,"url":"https://www.graphcanon.com/tools/langgenius-dify","markdown_url":"https://www.graphcanon.com/tools/langgenius-dify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langgenius-dify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langgenius-dify","shared_categories":["data-retrieval"]},{"slug":"shubhamsaboo-awesome-llm-apps","name":"awesome-llm-apps","tagline":"Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.","github_url":"https://github.com/Shubhamsaboo/awesome-llm-apps","owner":"Shubhamsaboo","repo":"awesome-llm-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/31396011?v=4","primary_language":"Python","stars":136444,"forks":20078,"topics":["agents","llms","python","rag"],"archived":false,"github_pushed_at":"2026-09-02T23:13:03+00:00","maintenance_label":"Very active","stars_delta_30d":5214,"url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps","markdown_url":"https://www.graphcanon.com/tools/shubhamsaboo-awesome-llm-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shubhamsaboo-awesome-llm-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps","shared_categories":["data-retrieval"]},{"slug":"microsoft-generative-ai-for-beginners","name":"generative-ai-for-beginners","tagline":"21 Lessons for Getting Started with Generative AI","github_url":"https://github.com/microsoft/generative-ai-for-beginners","owner":"microsoft","repo":"generative-ai-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":120108,"forks":63235,"topics":["ai","azure","chatgpt","dall-e","generative-ai","generativeai","gpt","language-model","llms","microsoft-for-beginners","openai","prompt-engineering","semantic-search","transformers"],"archived":false,"github_pushed_at":"2026-09-18T13:48:35+00:00","maintenance_label":"Very active","stars_delta_30d":6531,"url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-generative-ai-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-generative-ai-for-beginners","shared_categories":["data-retrieval"]},{"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","shared_categories":["data-retrieval"]},{"slug":"infiniflow-ragflow","name":"ragflow","tagline":"Retrieval-Augmented Generation (RAG) engine with agent capabilities","github_url":"https://github.com/infiniflow/ragflow","owner":"infiniflow","repo":"ragflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/69962740?v=4","primary_language":"Go","stars":90923,"forks":10767,"topics":["agent-harness","agentic-ai","agentic-nagive","agentic-retrieval","agentic-search","ai","ai-agents","context-engine","context-engineering","context-management","harness-engineering","knowledge-compilation","rag","retrieval-augmented-generation","search-harness"],"archived":false,"github_pushed_at":"2026-09-18T07:56:25+00:00","maintenance_label":"Very active","stars_delta_30d":4382,"url":"https://www.graphcanon.com/tools/infiniflow-ragflow","markdown_url":"https://www.graphcanon.com/tools/infiniflow-ragflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/infiniflow-ragflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=infiniflow-ragflow","shared_categories":["data-retrieval"]},{"slug":"nexu-io-open-design","name":"open-design","tagline":"🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app.","github_url":"https://github.com/nexu-io/open-design","owner":"nexu-io","repo":"open-design","owner_avatar_url":"https://avatars.githubusercontent.com/u/263625318?v=4","primary_language":"TypeScript","stars":89185,"forks":10298,"topics":["agent-skills","ai-design","byok","claude-code-for-design","claude-design","codex-design","coding-agents","cursor-design","deepseek","deepseek-harness","design-systems","desktop-app","dsh","dsh-plugin","figma-alternative","hermes-agent","local-first","prototyping","ui-generator","vibe-coding"],"archived":false,"github_pushed_at":"2026-08-19T11:57:14+00:00","maintenance_label":"Very active","stars_delta_30d":9390,"url":"https://www.graphcanon.com/tools/nexu-io-open-design","markdown_url":"https://www.graphcanon.com/tools/nexu-io-open-design.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nexu-io-open-design","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nexu-io-open-design","shared_categories":["data-retrieval"]},{"slug":"panniantong-agent-reach","name":"Agent-Reach","tagline":"AI Agent for Automated Web and Social Media Data Extraction","github_url":"https://github.com/Panniantong/Agent-Reach","owner":"Panniantong","repo":"Agent-Reach","owner_avatar_url":"https://avatars.githubusercontent.com/u/73925474?v=4","primary_language":"Python","stars":83516,"forks":7315,"topics":["agent-infrastructure","ai-agent","ai-search","automation","bilibili","claude-code","cli","cursor","free-api","llm-tools","mcp","python","reddit-scraper","twitter-scraper","web-scraper","xiaohongshu","youtube-transcript"],"archived":false,"github_pushed_at":"2026-09-15T16:16:24+00:00","maintenance_label":"Very active","stars_delta_30d":22688,"url":"https://www.graphcanon.com/tools/panniantong-agent-reach","markdown_url":"https://www.graphcanon.com/tools/panniantong-agent-reach.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/panniantong-agent-reach","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=panniantong-agent-reach","shared_categories":["data-retrieval"]},{"slug":"koala73-worldmonitor","name":"worldmonitor","tagline":"Real-time global intelligence dashboard with AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking","github_url":"https://github.com/koala73/worldmonitor","owner":"koala73","repo":"worldmonitor","owner_avatar_url":"https://avatars.githubusercontent.com/u/996596?v=4","primary_language":"TypeScript","stars":82968,"forks":12378,"topics":["agent","ai","dashboard","geopolitics","mcp","mcp-server","monitoring","news","opensource","osint","palantir","situation"],"archived":false,"github_pushed_at":"2026-08-18T22:53:21+00:00","maintenance_label":"Very active","stars_delta_30d":20953,"url":"https://www.graphcanon.com/tools/koala73-worldmonitor","markdown_url":"https://www.graphcanon.com/tools/koala73-worldmonitor.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/koala73-worldmonitor","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=koala73-worldmonitor","shared_categories":["data-retrieval"]},{"slug":"d4vinci-scrapling","name":"Scrapling","tagline":"An adaptive Web Scraping framework","github_url":"https://github.com/D4Vinci/Scrapling","owner":"D4Vinci","repo":"Scrapling","owner_avatar_url":"https://avatars.githubusercontent.com/u/20604835?v=4","primary_language":"Python","stars":82456,"forks":8404,"topics":["ai","ai-scraping","automation","crawler","crawling","crawling-python","data","data-extraction","mcp","mcp-server","playwright","python","scraping","selectors","stealth","web-scraper","web-scraping","web-scraping-python","webscraping","xpath"],"archived":false,"github_pushed_at":"2026-09-19T16:15:36+00:00","maintenance_label":"Very active","stars_delta_30d":11209,"url":"https://www.graphcanon.com/tools/d4vinci-scrapling","markdown_url":"https://www.graphcanon.com/tools/d4vinci-scrapling.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/d4vinci-scrapling","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=d4vinci-scrapling","shared_categories":["data-retrieval"]},{"slug":"redis-redis","name":"redis","tagline":"Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.","github_url":"https://github.com/redis/redis","owner":"redis","repo":"redis","owner_avatar_url":"https://avatars.githubusercontent.com/u/1529926?v=4","primary_language":"C","stars":76411,"forks":24812,"topics":["cache","caching","database","distributed-systems","in-memory","in-memory-database","json","key-value","key-value-store","message-broker","message-queue","no-sql","nosql","open-source","real-time","realtime","redis","time-series","vector-databases","vector-search"],"archived":false,"github_pushed_at":"2026-09-20T06:15:30+00:00","maintenance_label":"Very active","stars_delta_30d":784,"url":"https://www.graphcanon.com/tools/redis-redis","markdown_url":"https://www.graphcanon.com/tools/redis-redis.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/redis-redis","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=redis-redis","shared_categories":["data-retrieval","vector-databases"]},{"slug":"mem0ai-mem0","name":"mem0","tagline":"Drop-in memory infrastructure for AI agents and apps","github_url":"https://github.com/mem0ai/mem0","owner":"mem0ai","repo":"mem0","owner_avatar_url":"https://avatars.githubusercontent.com/u/137054526?v=4","primary_language":"Python","stars":65557,"forks":7690,"topics":["agentic-memory","agentic-memory-system","agents","ai","ai-agents","chatgpt","genai","llm","long-term-memory","memory","memory-management","python","rag","state-management"],"archived":false,"github_pushed_at":"2026-09-18T08:17:57+00:00","maintenance_label":"Very active","stars_delta_30d":2800,"url":"https://www.graphcanon.com/tools/mem0ai-mem0","markdown_url":"https://www.graphcanon.com/tools/mem0ai-mem0.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mem0ai-mem0","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mem0ai-mem0","shared_categories":["data-retrieval"]}]}}