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AI & LLM Engineering · Milvus
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guide to using and contributing cognee community packages: database adapters, data-source connectors, custom tasks and retrievers, and Keywords AI observability. | topoteretes/ | 32k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Diagnose and configure MemSearch memory behavior. An agent skill from zilliztech/memsearch. | zilliztech/ | 2.7k | — | ~2.9k | Automated safety check: Pass | MIT | 2 days ago |
| 3 | Turn workflows from your MemSearch memory into reusable skills. | zilliztech/ | 2.7k | — | ~2k | Automated safety check: Pass | MIT | 2 days ago |
| 4 | Edit, validate, debug, publish, and inspect ReachAI Workflow drafts through the Workflow AI Coding REST API. | w8123/ | 865 | — | ~3.7k | Automated safety check: Pass | MIT | 4 days ago |
| 5 | Search and recall relevant memories from past sessions via memsearch. | zilliztech/ | 2.7k | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |
| 6 | Create, inspect, and safely update project-scoped ReachAI Agents; edit and publish Supervisor config drafts; discover published bindable Skills; and attach or detach exact Skill versions through the… | w8123/ | 865 | — | ~1.4k | Automated safety check: Pass | MIT | 4 days ago |
| 7 | Integrate Java business systems with ReachAI SDK registration, SDK instance heartbeat, gateway/embed access, and optional API Management handoff. | w8123/ | 865 | — | ~6.1k | Automated safety check: Pass | MIT | 4 days ago |
| 8 | Search and recall relevant memories from past sessions via memsearch. | zilliztech/ | 2.7k | — | ~807 | Automated safety check: Pass | MIT | 2 days ago |
| 9 | Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline. | wshobson/ | 40k | 9 repos | ~1.1k | Automated safety check: Pass | MIT | 6 days ago |
| 10 | Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from… | elementalsouls/ | 4.8k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 11 | Vector database implementation for AI/ML applications, semantic search, and RAG systems. | ancoleman/ | 525 | — | ~3.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 12 | Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and… | open-edge-platform/ | 171 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout. | open-edge-platform/ | 171 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | 14.Milvus Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code. | LeoYeAI/ | 2.2k | — | ~4.6k | Automated safety check: Pass | MIT | 2 mo ago |
