Pinecone + TaskAGI
Vector search for AI applications
Connect Pinecone to TaskAGI to store and query vector embeddings. Build powerful RAG (Retrieval Augmented Generation) workflows.
Vector search for AI applications
Connect Pinecone to TaskAGI to store and query vector embeddings. Build powerful RAG (Retrieval Augmented Generation) workflows.
Actions you can perform with Pinecone
List all indexes in your Pinecone project
Get details about a specific index
Insert or update vectors in an index
Search for similar vectors in an index
Delete vectors from an index by IDs, filter, or delete all in namespace
Fetch specific vectors by their IDs
Generate vector embeddings for text using Pinecone Inference API
Get statistics about vectors in an index
Real-world automations you can build today
Search documents by meaning, not just keywords
Build AI assistants with context from your data
Find similar products, content, or users
Store and retrieve information efficiently
Get started in minutes
Add your Pinecone API key from your project settings.
Use the Generate Embedding node to convert text to vectors.
Upsert vectors and query for similar content.
Combine with AI models for RAG-powered workflows.
Deploy pre-built agents that leverage this integration
Automate news analysis and intelligent Q&A with Pinecone vector search—instantly summarize articles...
Automatically collect Google Play reviews, generate AI-powered summaries with Pinecone vector search...
Automate news analysis and intelligent Q&A with Pinecone vector search—instantly summarize articles...
Automatically collect Google Play reviews, generate AI-powered summaries with Pinecone vector search...
Start building powerful AI agents that connect Pinecone with 365+ other apps.
Get Started Free