Skill · em Dados, IA e pesquisa

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…

Procedência

Antes de instalar

2 arquivos · 11,1 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/pinecone/.

d=".claude/skills/pinecone"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/rag-pinecone"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/deployment.md" "$u/references/deployment.md"

Global: instala em ~/.claude/skills/pinecone/.

d="$HOME/.claude/skills/pinecone"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/rag-pinecone"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/deployment.md" "$u/references/deployment.md"

Codex

Neste projeto: instala em .agents/skills/pinecone/.

d=".agents/skills/pinecone"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/rag-pinecone"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/deployment.md" "$u/references/deployment.md"

Global: instala em ~/.agents/skills/pinecone/.

d="$HOME/.agents/skills/pinecone"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/rag-pinecone"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/deployment.md" "$u/references/deployment.md"

Antigravity

Neste projeto: instala em .agents/skills/pinecone/.

d=".agents/skills/pinecone"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/rag-pinecone"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/deployment.md" "$u/references/deployment.md"

Global: instala em ~/.gemini/antigravity-cli/skills/pinecone/.

d="$HOME/.gemini/antigravity-cli/skills/pinecone"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/rag-pinecone"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/deployment.md" "$u/references/deployment.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.pinecone

Prévia do SKILL.md

---
name: pinecone
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [RAG, Pinecone, Vector Database, Managed Service, Serverless, Hybrid Search, Production, Auto-Scaling, Low Latency, Recommendations]
dependencies: [pinecone-client]
---

# 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)

**Metrics**:
- Fully managed SaaS
- Auto-scales to billions of vectors
- **p95 latency <100ms**
- 99.9% uptime SLA

**Use alternatives instead**:
- **Chroma**: Self-hosted, open-source
- **FAISS**: Offline, pure similarity search
- **Weaviate**: Self-hosted with more features

## Quick start

### Installation

```bash
…

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