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.

Target: Learning & research. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

Read the original English text

Topics in the source

  • Pinecone - Managed Vector Database
  • When to use Pinecone
  • Quick start
  • Installation
  • Basic usage
  • Core operations
  • Create index
  • Upsert vectors

The vector database for production AI applications. 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 1. Use serverless - Auto-scaling, cost-effective 2. Batch upserts - More efficient (100-200 per batch) 3. Add metadata - Enable filtering 4. Use namespaces - Isolate data by user/tenant 5. Monitor usage - Check Pinecone dashboard 6. Optimize filters - Index frequently filtered fields 7. Test with free tier - 1 index, 100K vectors free 8. Use hybrid search - Better quality 9. Set appropriate dimensions - Match embedding model 10. Regular backups - Export important data | Operation | Latency | Notes | |-----------|---------|-------| | Upsert | 50-100ms | Per batch | | Query (p50) | 50ms | Depends on index size | | Query (p95) | 100ms | SLA target | | Metadata filter | +10-20ms | Additional ov

This is an excerpt. Refer to the complete source and its current requirements.

Source repository
davila7/claude-code-templates
Source file
cli-tool/components/skills/ai-research/rag-pinecone/SKILL.md
Fixed revision
21be197f100a12b8d0dd9a211cc244c8179f84d3
Read the complete original documentation ↗

Sources and evidence

This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.

Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T14:01:43.419Z.

Categories are inferred from names, descriptions and paths. They do not establish compatibility.

License and attribution

MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

Original license ↗

Synchronization, copying and user-reported success do not mark a resource as runtime-tested.

Limitations and notes

  • Collecting metadata does not mean this site has installed, adapted, runtime-tested or security-reviewed the resource.