Use Pinecone from Claude Code
Bring Pinecone context into engineering work while Type keeps app access attached to the teammate and workspace.
One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Pinecone never means pasting credentials into a prompt.
Bring Pinecone context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
Connect Pinecone once, then decide which teammates can use it for threads, automations, skills, and coding work.
Tool to cancel a bulk import operation in Pinecone. Use when you need to stop an ongoing import operation that is not yet finished.
Tool to chat with a Pinecone assistant and get structured responses with citations. Use when you need to query an assistant that has access to your knowledge base and want to get back answers with document references and citations.
Tool to chat with a Pinecone assistant through an OpenAI-compatible interface. Use when you need to interact with a Pinecone assistant that has access to indexed documents and can answer questions based on retrieved context.
Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags. Use when you need to scale an index vertically or horizontally, enable/disable deletion protection, or update tags. The change is asynchronous; check index status for completion.
Tool to create a new Pinecone assistant for RAG (Retrieval-Augmented Generation) applications. Use when you need to initialize a new assistant that can have files uploaded and support chat interactions.
Pinecone provides vector database APIs for AI retrieval and search applications. Integrations can create and manage indexes, namespaces, records, vectors, metadata filters, upserts, queries, deletes, backups, inference and reranking workflows, and authenticate with API keys.
Yes. Type lets an AI teammate use connected Pinecone actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.
Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Pinecone catalog entry includes public integration details and example capabilities where available.
Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.
Supabase is an open-source backend-as-a-service providing a Postgres database, authentication, storage, and real-time subscription APIs for building modern applications
Bitbucket is a Git-based code hosting and collaboration platform supporting private and public repositories, enabling teams to manage and review code through pull requests and integrations
Snowflake is a cloud-based data warehouse offering elastic scaling, secure data sharing, and SQL analytics across multiple cloud environments
Integrate Google Maps to access location data, geocoding, directions, and mapping services in your application.