Pinecone is a vector database platform designed for AI applications, offering features like similarity search and real-time operations. With Relevance AI, you can harness these features to create smarter, more responsive AI Agents that drive your applications forward.
Pinecone provides a robust vector database solution for efficient similarity search and recommendation systems. Relevance AI amplifies this by enabling intelligent AI Agents to leverage these capabilities for dynamic decision-making and insights.
Semantic Mastery
Empowers the agent with deep contextual understanding through advanced vector similarity processing
Contextual Intelligence
Enhances the agent's ability to maintain relevant context across complex, multi-turn interactions
Pattern Recognition
Unlocks sophisticated similarity matching for identifying subtle connections and relationships
Relevance AI seamlessly integrates with Pinecone to enhance your AI workflows with powerful vector database capabilities.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Pinecone account
- A Relevance AI account with access to your project
- Authorization credentials from both services (API keys will be required for secure connection)
Security & Reliability
The Pinecone integration utilizes a robust vector database solution, enabling seamless management of vector embeddings for AI applications. With secure OAuth authentication, only authorized workflows can access your Pinecone data. Relevance AI handles API operations (like upsert, query, update, and delete) in the background—so you don’t have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when handling vector operations and metadata filtering.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the Pinecone + Relevance AI integration without writing code:
- Start with a well-defined index: Ensure your index has a clear structure and consistent vector dimensions for optimal performance.
- Utilize metadata effectively: Leverage metadata filtering to enhance your query results and improve relevance.
- Connect securely: Verify that your OAuth credentials and API key have the necessary permissions for read/write operations.
- Test queries with sample data: Validate your queries on a small dataset before applying them to larger datasets to ensure accuracy.
- Monitor performance: Keep an eye on response times and adjust your topK values and filters to optimize query performance.
