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pinecone-docs

✓ Official★ 14

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 writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.

🔥🔥✓ VerifiedFreeQuick setup
#automation#database#git#memory
🧩 One of 7 skills in the pinecone-io/skills package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

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

TopicURL
Create an indexhttps://docs.pinecone.io/guides/index-data/create-an-index
Index types and conceptual overviewhttps://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 volumeshttps://docs.pinecone.io/guides/index-data/dedicated-read-nodes

Upsert & Data

TopicURL
Upsert vectors and texthttps://docs.pinecone.io/guides/index-data/upsert-data
Multitenancy with namespaceshttps://docs.pinecone.io/guides/index-data/implement-multitenancy
TopicURL
Semantic searchhttps://docs.pinecone.io/guides/search/semantic-search
Hybrid searchhttps://docs.pinecone.io/guides/search/hybrid-search
Lexical searchhttps://docs.pinecone.io/guides/search/lexical-search
Full-text search (preview) — document-schema FTS indexes with text / query_string / dense / sparse scoringhttps://docs.pinecone.io/guides/search/full-text-search
Metadata filtering — narrow results and speed up searcheshttps://docs.pinecone.io/guides/search/filter-by-metadata

API & SDK Reference

TopicURL
Python SDK referencehttps://docs.pinecone.io/reference/sdks/python/overview
Example Colab notebookshttps://docs.pinecone.io/examples/notebooks

Production

TopicURL
Production checklist — preparing your index for productionhttps://docs.pinecone.io/guides/production/production-checklist
Common errors and what they meanhttps://docs.pinecone.io/guides/production/error-handling
Targeting indexes correctly — don't use index names in prodhttps://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.