pinecone Skill
Managed vector DB for production RAG and search. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Database workflows, Research, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
21 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is pinecone Skill?
Managed vector DB for production RAG and search. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Research
- Database workflows use cases
- Research use cases
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: optional-skills/mlops/pinecone/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use pinecone Skill
- Use it for database workflows.
- Use it for research.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mlops/pinecone/SKILL.md
What it does
Managed vector DB for production RAG and search.
Skill instructions
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 pip install pinecone Note: the old pinecone-client package is deprecated. Install pinecone (v5+; current 9.x). The import stays from pinecone import Pinecone. Basic usage python from pinecone import Pinecone, ServerlessSpec Initialize pc = Pinecone(apikey="your-api-key") Create index pc.createindex( name="my-index", dimension=1536, Must match embedding dimension metric="cosine", or "e
Verified compatibility and discovery
Frequently asked questions
What is pinecone?
pinecone is a open-source AI agent skill with Copy skill directory. Managed vector DB for production RAG and search.
Who is pinecone best for?
pinecone is best for reusing agent instructions, scripts, and references, database workflows, research workflows.
How do I install pinecone?
Install or run pinecone using Copy skill directory. Check pinecone for the latest setup command.
Is pinecone actively maintained?
pinecone may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
