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pinecone-docs

pinecone-io

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SKILL.md

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.


Getting Started

TopicURL

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

TopicURL

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


TopicURL

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

Full-text search (preview) — document-schema FTS indexes with text / query_string / dense / sparse scoring

https://docs.pinecone.io/guides/search/full-text-search

Metadata filtering — narrow results and speed up searches

https://docs.pinecone.io/guides/search/filter-by-metadata


API & SDK Reference


Production

TopicURL

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.

Install

Install with chainctl
chainctl skill install public/pinecone-io/pinecone-docs:latest
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Provenance

Upstream sourcehttps://github.com/pinecone-io/skills
Upstream commitc91a85f5b8415bde6891f180aa79e09279c38706
OCI reference

skills.cgr.dev/public/github.com/pinecone-io/skills/pinecone-docs:latest

License

MIT

Files

HARDENING.md

LICENSE

SKILL.md

references/data-formats.md


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