pinecone-docs

📁 pinecone-io/skills 📅 7 days ago
3
总安装量
2
周安装量
#60999
全站排名
安装命令
npx skills add https://github.com/pinecone-io/skills --skill pinecone-docs

Agent 安装分布

amp 2
gemini-cli 2
github-copilot 2
codex 2
kimi-cli 2
cursor 2

Skill 文档

Pinecone Developer Reference

A curated index of Pinecone documentation. Fetch the relevant page(s) for the task at hand rather than relying on training data.


NOTE TO AGENT

Please attempt to fetch the url listed when relevant. If you run into an error, please attempt to append “.md” to the url to retrieve the markdown version of the Docs page.

In case you need it: A full reference to ALL relevant URLs can be found here: https://docs.pinecone.io/llms.txt

Use this as a last resort if you cannot find the relevant page below.


Getting Started

Topic URL
Quickstart for all languages and coding environments (Cursor, Claude Code, n8n, Python, JavaScript, Java, Go, C#) https://docs.pinecone.io/guides/get-started/quickstart
Pinecone concepts — namespaces, terminology, and key database concepts https://docs.pinecone.io/guides/get-started/concepts
Data modeling for text and vectors https://docs.pinecone.io/guides/index-data/data-modeling
Architecture of Pinecone https://docs.pinecone.io/guides/get-started/database-architecture
Pinecone Assistant overview https://docs.pinecone.io/guides/assistant/overview

Indexes

Topic URL
Create an index https://docs.pinecone.io/guides/index-data/create-an-index
Index types and conceptual overview https://docs.pinecone.io/guides/index-data/indexing-overview
Integrated inference (built-in embedding models) https://docs.pinecone.io/guides/index-data/indexing-overview#integrated-embedding
Dedicated read nodes — predictable low-latency performance at high query volumes https://docs.pinecone.io/guides/index-data/dedicated-read-nodes

Upsert & Data

Topic URL
Upsert vectors and text https://docs.pinecone.io/guides/index-data/upsert-data
Multitenancy with Namespaces: https://docs.pinecone.io/guides/index-data/implement-multitenancy

Search

Topic URL
Semantic search https://docs.pinecone.io/guides/search/semantic-search
Hybrid search https://docs.pinecone.io/guides/search/hybrid-search
Lexical search https://docs.pinecone.io/guides/search/lexical-search
Metadata filtering — narrow results and speed up searches https://docs.pinecone.io/guides/search/filter-by-metadata

API & SDK Reference

Topic URL
Python SDK reference https://docs.pinecone.io/reference/sdks/python/overview
Example Colab notebooks https://docs.pinecone.io/examples/notebooks

Production

Topic URL
Production checklist — preparing your index for production https://docs.pinecone.io/guides/production/production-checklist
Common errors and what they mean https://docs.pinecone.io/guides/production/error-handling
Targeting indexes correctly: Don’t use index names in prod!: https://docs.pinecone.io/guides/manage-data/target-an-index#target-by-index-host-recommended

Data Formats

See references/data-formats.md for vector and record schemas.