Build RAG Pipeline with Pinecone

curated by SkillMD · plugin · 6 skills

Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.

Install the whole plugin (CLI)

npx skillmds add github/pinecone-rag
npx skillmds add antigravity/llm-ops
npx skillmds add github/qdrant-search-quality
npx skillmds add antigravity/ai-engineer
npx skillmds add rootcastleco/ai-engineer
npx skillmds add joshuashepherd/agent-rag

⬇ Download

Skills in this plugin

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pinecone-rag · github
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

36.2k
repo stars
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llm-ops · antigravity
Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.

42.4k
repo stars
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qdrant-search-quality · github
Diagnoses and improves Qdrant search relevance by isolating embedding model, configuration, or query strategy issues.

36.2k
repo stars
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ai-engineer · antigravity
Build production-ready LLM applications, advanced RAG systems, and intelligent agents with vector search, multimodal AI, and enterprise integrations.

42.4k
repo stars
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ai-engineer · rootcastleco
Build production-ready LLM applications, RAG systems, and intelligent agents with architecture design, model selection, and cost controls.

6
repo stars
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agent-rag · joshuashepherd
Build or modify a RAG retrieval pipeline with vector store search, corpus routing, citation rendering, and book fidelity enforcement.

1
repo stars