Individual skill
pinecone
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.
backend/cli/skills/llm-tools/pinecone/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Last checked
- Nov 2, 2026
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- 4,353
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- rag Declared skill tag
- pinecone Declared skill tag
- vector-database Declared skill tag
- managed-service Declared skill tag
- serverless Declared skill tag
- hybrid-search Declared skill tag
- production Declared skill tag
- auto-scaling Declared skill tag
- low-latency Declared skill tag
- recommendations Declared skill tag
- data Derived category
- devops Derived category
- data-databases Derived category
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# Pinecone - Managed Vector Database
The vector database for production AI applications.
## When to use Pinecone
**Use when:**
- Need managed, serverless vector database
- Production RAG applications
- Auto-scaling required
- Low latency critical (<100ms)
- Don't want to manage infrastructure
- Need hybrid search (dense + sparse vectors)
