assistant
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context…
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.
$ npx -y skills add pinecone-io/pinecone-claude-code-plugin --skill docs --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/docsContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: pinecone:docs description: 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. allowed-tools: Read, WebFetch
A curated index of Pinecone documentation. Fetch the relevant page(s) for the task at hand rather than relying on training data.
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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.
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| Topic | URL | |---|---| | Python SDK reference | https://docs.pinecone.io/reference/sdks/python/overview | | Example Colab notebooks | https://docs.pinecone.io/examples/notebooks |
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| 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 |
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See [references/data-formats.md](references/data-formats.md) for vector and record schemas.
A lightweight plugin that integrates Pinecone vector database capabilities directly into Claude Code, enabling semantic search, index management, and RAG (Retrieval Augmented Generation) workflows.
Repo: pinecone-io/pinecone-claude-code-plugin
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