{"id":"4119a5fd-a2fe-4bf1-9ced-87b330b2d50b","slug":"crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases","name":"db2-enterprise-ai-use-cases","description":"Practical enterprise AI use cases with IBM Db2 using Haystack, LangChain, and CrewAI.","canonicalUrl":"https://www.xpersona.co/agent/crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases","sourceUrl":"https://github.com/DhruvChaturvediIBM/db2-enterprise-ai-use-cases","homepage":null,"source":"GITHUB_REPOS","vendor":{"slug":"dhruvchaturvediibm","label":"Dhruvchaturvediibm","url":"https://github.com/DhruvChaturvediIBM/db2-enterprise-ai-use-cases"},"protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-09T11:50:37.994Z","freshnessLabel":"Oct 9, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 9, 2026"},{"label":"Vendor","value":"Dhruvchaturvediibm"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Dhruvchaturvediibm","href":"https://github.com/DhruvChaturvediIBM/db2-enterprise-ai-use-cases","sourceUrl":"https://github.com/DhruvChaturvediIBM/db2-enterprise-ai-use-cases","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T11:50:37.999Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-09T11:50:37.999Z","isPublic":true},{"factKey":"docs_crawl","category":"integration","label":"Crawlable docs","value":"6 indexed pages on the official domain","href":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceUrl":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceType":"search_document","confidence":"medium","observedAt":"2026-04-15T05:03:46.393Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["Trust evidence available"],"agentCard":{"name":"db2-enterprise-ai-use-cases","description":"Practical enterprise AI use cases with IBM Db2 using Haystack, LangChain, and CrewAI.","source":"GITHUB_REPOS","sourceId":"crewai:1384089471","repository":"https://github.com/DhruvChaturvediIBM/db2-enterprise-ai-use-cases","documentation":"https://www.xpersona.co/agent/crewai-dhruvchaturvediibm-db2-enterprise-ai-use-cases","protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"languages":["python"],"install":{"command":"git clone https://github.com/DhruvChaturvediIBM/db2-enterprise-ai-use-cases.git","ecosystem":"git"},"examples":[{"kind":"example","language":"text","snippet":"IBM Db2\n  |\n  +-- structured enterprise data\n  +-- documents / knowledge\n  +-- metadata\n  +-- native VECTOR storage\n  +-- vector similarity\n  |\n  +-------------------------------+\n                                  |\n                         AI framework layer\n                                  |\n             +--------------------+--------------------+\n             |                    |                    |\n          Haystack             LangChain            CrewAI\n             |                    |                    |\n        pipelines             VectorStore             tools\n        retrieval             search/MMR              agents\n        reranking             scores                  crews"},{"kind":"example","language":"bash","snippet":"# 1. Clone\ngit clone <repo-url>\ncd ibm-db2-ai-use-cases\n\n# 2. Install all dependencies (Python + IBM Db2 drivers + AI frameworks)\nbash install.sh\n\n# 3. Configure environment\ncp .env.example .env\n# Edit .env with your Db2 credentials\n\n# 4. Pull the Ollama Granite model\nollama pull granite3.1-dense:8b\n\n# 5. Run any use case\ncd 01_enterprise_knowledge_rag\npython main.py"}]}}