Pinecone Docs — Agent Skill by Pinecone

From the author

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.

— the description by Pinecone

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Pinecone-docs provides a structured index of official Pinecone documentation and technical specifications. It serves as a reliable lookup tool for developers to access up-to-date guides on index management, search implementation, and data ingestion. By centralizing links to core concepts, API references, and specific data schema requirements, it helps developers avoid reliance on potentially outdated training data when writing code or configuring vector operations.

What it does

Provides direct links to official Pinecone documentation organized by development task.
Defines required JSON and JSONL schemas for standard vector upserts.
Details record formats for integrated inference indexes.
Outlines specifications for sparse vector structures used in hybrid search.
Offers guidance on production readiness and error handling.
Facilitates access to SDK references and example notebooks.

When to use it

When you need to verify the correct JSON structure for upserting vectors or records.
When implementing specific search types like hybrid or full-text search.
When troubleshooting index configuration or production deployment issues.
When looking for the latest API parameters or SDK usage patterns.

Advantages

Reduces hallucination by pointing directly to official documentation sources.
Simplifies data modeling by providing clear schema examples for different index types.
Organizes complex documentation into actionable developer workflows.
Ensures developers use current best practices for production environments.

Usage examples

“What is the correct JSON format for upserting a standard vector into Pinecone?”: The agent retrieves the standard index vector schema, showing the required 'id', 'values' array, and optional 'metadata' object structure.
“How do I implement hybrid search in my Pinecone index?”: The agent provides the link to the hybrid search guide and explains the requirements for combining dense and sparse vector data.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/pinecone-io/pinecone-docs/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip pinecone-docs.zip -d .agents/skills

Documentation by Pinecone

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
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.

Files

ATTRIBUTION.mdAdded by AutoGineer855 B
LICENSELicence file added by AutoGineer1.0 KiB
SKILL.md3.5 KiB
references/data-formats.md1.9 KiB

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download pinecone-docs.zip