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rag-pipeline
Use when building Retrieval-Augmented Generation systems. Covers document chunking, embedding generation, vector indexing, semantic search, context building, and integration of retrieval with LLM completion for...
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muhammad-anas35 AI Skills
GitHub ↗浏览 muhammad-anas35 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
openai-agents
Use when integrating OpenAI GPT models for conversational AI. Covers chat completions, streaming responses, function calling, system prompts, token management, cost optimization, error handling, and building sp...
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GitHub
qdrant-vectordb
Use when working with Qdrant vector database for semantic search and RAG. Covers collection setup, embedding generation, vector upsert/search, HNSW indexing, filtering, and integration with OpenAI embeddings fo...
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GitHub
neon-database
Use when working with Neon serverless PostgreSQL database. Covers database setup, CLI commands, Drizzle ORM integration, schema migrations, connection pooling, and user data storage patterns for authentication...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。