Pinecone Docs llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/pinecone/llms-txt) # Pinecone Docs llms.txt docs.pinecone.io/llms.txt [Raw llms.txt](https://docs.pinecone.io/llms.txt) [Raw llms-full.txt](https://docs.pinecone.io/llms-full.txt) Copy Markdown [](https://docs.pinecone.io/llms.txt) llms.txt Docs 2022 releases 2023 releases 2024 releases 2025 releases 2026 releases Feature availability Assistant examples Notebooks Reference architectures Sample apps Access your invoices Change your payment method Configure audit logs Configure SSO with Okta Create a project Downgrade your plan Download a usage report Manage API keys Manage organization members Manage service accounts at the organization-level Manage project members Manage service accounts at the project-level Manage projects Monitor usage and cost Organizations overview Projects overview Security overview Upgrade your plan Chat through the OpenAI-compatible interface Chat through the standard interface Context snippets overview Create an assistant Evaluate answers Evaluation overview Files in Pinecone Assistant Manage assistants Manage files Use an Assistant MCP server Multimodal context for assistants Pinecone Assistant Pricing and limits Pinecone Assistant: n8n quickstart Pinecone Assistant: SDK quickstart Retrieve context snippets Upload files Agentic IDEs and CLIs Concepts Architecture Pinecone documentation Quickstart Test Pinecone at scale Check data freshness Create an index Data ingestion overview Data modeling Dedicated Read Nodes Implement multitenancy Import records Indexing overview Upsert records Back up a pod-based index Choose a pod type and size Create a pod-based index Manage pod-based indexes Migrate a pod-based index to serverless Restore a pod-based index Scale pod-based indexes Understanding collections Understanding pod-based indexes Manage cost Monitor usage and costs Understanding cost Back up an index Backups overview Delete records Fetch records List record IDs Manage serverless indexes Manage namespaces Restore an index Target an index Update records Analytics and event logs Marketplace concepts Configure components Configure layouts Configure operating parameters Connectors overview Consumer authentication Create a deployment Deployer authentication Ask questions Understand answers End user guide Evaluations Knowledge Agent Toolkit (KAT) overview Manage versions and rollback Multi-domain routing Pinecone Marketplace Marketplace pricing and limits Publish a deployment Marketplace quickstart Template catalog Templates overview Integrate with Amazon S3 Integrate with Azure Blob Storage Integrate with Google Cloud Storage Manage storage integrations Local development with Pinecone Local Use the Pinecone MCP server Decrease latency Increase search relevance Increase throughput Save on costs Access your invoices Change your payment method Downgrade your plan Download a usage report Account deactivation for non-payment Standard trial Upgrade your plan Manage organization members Manage service accounts at the organization-level Understanding organizations CI/CD with Pinecone Local and GitHub Actions Bring your own cloud (BYOC) Configure audit logs Configure customer-managed encryption keys Configure Private Endpoints Configure SSO with Okta Data deletion on Pinecone Error handling Monitor performance Production checklist Security overview Create a project Manage API keys Manage project members Manage projects Manage service accounts at the project-level Understanding projects Filter by metadata Full-text search Hybrid search Lexical search Rerank results Search overview Semantic search Agent Skills AI Engine Airbyte Amazon Bedrock Amazon SageMaker Anyscale Apify Aryn AWS Marketplace Box Attribute usage to your integration Connect your users to Pinecone Integration ecosystem Claude Code Plugin Cloudera AI Cohere Confluent Context Data Cursor Plugin Databricks Datadog Datavolo Estuary Fleak FlowiseAI Gathr Gemini CLI Extension Genkit GitHub Copilot Google Cloud Marketplace Haystack Hugging Face Inference Endpoints Instill AI Jina AI LangChain Langtrace LlamaIndex Matillion Microsoft Marketplace n8n New Relic Nexla Nuclia OctoAI OpenAI Integrations Pulumi Redpanda Snowflake StreamNative Terraform Traceloop TruLens Twelve Labs Unstructured Vercel VoltAgent Voyage AI Zapier Model Gallery Create an API key Create a new project Delete an API key Delete a project Get API key details Get project details Create an access token List API keys List projects Update an API key Update a project Create an API key Create a new project Delete an API key Delete a project Get API key details Get project details Create an access token List API keys List projects Update an API key Update a project Chat with an assistant Chat through an OpenAI-compatible interface Retrieve context from an assistant Create an assistant Delete an assistant Delete an uploaded file Check assistant status Get the current status and metadata of a file Describe an operation List assistants List Files List operations Evaluate an answer Update an assistant Upload a file Upsert a file Manage indexes Create a backup of an index Create backup schedule Create a collection hosted embedding model Create an index Create an index from a backup Delete a backup Delete backup schedule Delete a collection Delete an index Describe a backup Describe backup schedule Describe a collection Describe an index Describe a restore job List backup schedule history List backup schedules List collections List backups for an index List indexes List backups for all indexes in a project List restore jobs Update backup schedule Cancel an import Create a namespace Delete records Delete a namespace Describe an import Get index stats Describe a namespace Fetch records Fetch data List record IDs List imports List namespaces Search with a vector Search with text Start import Update a record Upsert records Upsert text Describe a model hosted embedding models List available models Rerank results Pinecone Assistant limits Authentication Assistant API reference Authentication Pinecone Database limits Errors API reference Known limitations Authentication Connectors Deployments Evaluations Events and analytics Pinecone Marketplace API Templates Versions and publishing API versioning Pinecone Assistant architecture CLI authentication CLI command reference CLI quickstart CLI target context Pinecone SDKs overview Pinecone Go SDK Reference OpenTelemetry support Pinecone Java SDK Reference Pinecone Node.js SDK Reference Pinecone Python SDK Reference Spark-Pinecone connector 2022 releases 2023 releases 2024 releases 2025 releases 2026 releases Feature availability Billing disputes and refunds Contact Support CORS Issues Custom data processing agreements Debug model vs. Pinecone recall issues Delete your account Delete your organization Embedding values changed when upserted Error: Cannot import name 'Pinecone' from 'pinecone' Error: Handshake read failed when connecting Export indexes How to work with Support Serverless index creation error - max serverless indexes Index creation error - missing spec parameter Limitations of querying by ID Login code issues Python AttributeError: module pinecone has no attribute init Node.js Troubleshooting PineconeAttribute errors with LangChain Pinecone Support SLAs Restrictions on index names Return all vectors in an index Serverless index connection errors Unable to pip install Wait for index creation to be complete OpenAPI Specs db_control_2026-04.oas assistant_data_2026-04.oas db_data_2026-01.alpha.oas db_control_2026-01.alpha.oas inference_2026-04.oas db_data_2026-04.oas oauth_2026-04.oas admin_2026-04.oas assistant_evaluation_2026-04.oas assistant_control_2026-04.oas db_data_2025-04.oas db_data_2025-10.oas db_control_2025-10.oas assistant_data_2025-10.oas assistant_control_2025-10.oas db_data_2025-01.oas data_2024-04.oas data_2024-07.oas db_data_2024-10.oas inference_2025-10.oas assistant_evaluation_2025-10.oas oauth_2025-10.oas admin_2025-10.oas admin_2025-04.oas assistant_data_2025-01.oas assistant_data_2025-04.oas db_control_2025-04.oas control_2024-04.oas control_2024-07.oas inference_2024-10.oas db_control_2024-10.oas inference_2025-01.oas db_control_2025-01.oas assistant_evaluation_2025-01.oas assistant_control_2025-01.oas inference_2025-04.oas assistant_evaluation_2025-04.oas assistant_control_2025-04.oas oauth_2025-04.oas pinecone data_plane_api control_plane_api ## What is Pinecone Docs's llms.txt? Pinecone Docs publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Pinecone Docs offers and where to find details. Pass Spec 2 Sections 398 Links 71.9 KB Size ~18.4k Tokens Sections: Docs · OpenAPI Specs ## Add Pinecone Docs Docs to Your AI Assistant Select your tool to see how to add Pinecone Docs's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://docs.pinecone.io/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Pinecone Docs Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 3 notes ## Frequently Asked Questions Where is Pinecone Docs's llms.txt file? Pinecone Docs publishes its llms.txt at https://docs.pinecone.io/llms.txt. This file provides a structured, markdown-formatted index of Pinecone Docs's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Pinecone Docs's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Pinecone Docs's documentation so it can provide better code suggestions and answers about Pinecone Docs. What does Pinecone Docs's llms.txt contain? Pinecone Docs's llms.txt contains 2 sections and 398 documentation links in 71.9 KB (~18.4k tokens). Key sections include Docs, OpenAPI Specs. How many tokens does Pinecone Docs's llms.txt use? The concise llms.txt index is approximately 18.4k tokens (71.9 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator. ## Browse More llms.txt Files [Promptfoo Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration. 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It features built-in support for JavaScript, TypeScript, and Node.js, GitHub Copilot AI assistance for code completion, chat, and agentic workflows, an extensive extension marketplace, and remote development capabilities.](https://mdream.dev/llms-txt/pinecone/llms-txt/vscode) [Baseten](https://mdream.dev/llms-txt/pinecone/llms-txt/baseten) [Lago](https://mdream.dev/llms-txt/pinecone/llms-txt/lago) [Aptible](https://mdream.dev/llms-txt/pinecone/llms-txt/aptible) [Tinybird](https://mdream.dev/llms-txt/pinecone/llms-txt/tinybird) [View all 99 projects ](https://mdream.dev/llms-txt/pinecone/llms-txt) ## Related Tools [

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