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pinecone-docs

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by pinecone-io · part of pinecone-io/skills

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when…

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🧩 One of 7 skills in the pinecone-io/skills package — works on its own, and pairs well with its siblings.

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when…

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by pinecone-io

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when… npx skills add https://github.com/pinecone-io/skills --skill pinecone-docs Download ZIPGitHub14

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.

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 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

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.