Individual skill
rag-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.
cli-tool/components/skills/ai-research/rag-pinecone/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 33,218
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- anthropic Repository topic
- anthropic-claude Repository topic
- claude Repository topic
- claude-code Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code-plugins Repository topic
- cli Repository topic
- mcp Repository topic
- registry 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
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesSKILL.mdcore · 7,849 bytesreferences/deployment.mddoc · 3,557 bytes
Read excerpt
# 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)