Update app/spicedb/integrations/pinecone/page.mdx

Co-authored-by: Maria Ines Parnisari <[email protected]>

Author: sohanmaheshwar

app/spicedb/integrations/pinecone/page.mdx

@@ -5,7 +5,7 @@ import { Callout } from "nextra/components";
 Retrieval-Augmented Generation (RAG) systems combine the power of vector search with large language models to answer questions using your organization's data.
 However, without proper authorization controls, these systems can leak sensitive information across organizational boundaries.
 
-This guide shows how to implement fine-grained, relationship-based authorization in RAG pipelines using SpiceDB and [Pinecone](https://www.pinecone.io/) - a fully managed, cloud-native vector database designed for fast, similarity searches at scale. By integrating SpiceDB's permission checks directly into your retrieval workflow, you ensure that users only receive answers based on documents they're authorized to access.
+This guide shows how to implement fine-grained, relationship-based authorization in RAG pipelines using SpiceDB and [Pinecone](https://www.pinecone.io/) - a fully managed, cloud-native vector database designed for fast similarity searches at scale. By integrating SpiceDB's permission checks directly into your retrieval workflow, you ensure that users only receive answers based on documents they're authorized to access.
 
 ## Why Authorization Matters in RAG