Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
7.0
Rating
0
Installs
AI & LLM
Category
Excellent comprehensive skill for Pinecone vector database with clear description, extensive code examples, and practical guidance. The SKILL.md is well-structured with quick start, core operations, integrations (LangChain, LlamaIndex), and best practices. Description clearly conveys when to use Pinecone vs alternatives. Task knowledge is strong with complete, runnable examples for all major operations. Structure is good, though at this length could benefit from splitting advanced topics into separate reference files. Novelty is moderate - while Pinecone operations can be verbose, the CLI agent could handle most tasks with sufficient tokens; the skill provides convenience and best practices rather than solving truly complex multi-step workflows. Strong production-ready skill that meaningfully reduces token usage for vector database operations.
zechenzhangAGI
Skill Author
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