pinecone-integration ยท diff
git:20260325.a6b3a88 to git:20260507.313363d
61 added, 58 removed. Audit A to A.
- ---
- name: pinecone-integration
- description: Pinecone vector database setup, configuration, and operations for RAG applications
- allowed-tools:
- - Read
- - Write
- - Edit
- - Bash
- - Glob
- - Grep
- ---
-
- # Pinecone Integration Skill
-
- ## Capabilities
-
- - Set up Pinecone index and environment
- - Configure index parameters and pods
- - Implement upsert and query operations
- - Design namespace strategies for multi-tenancy
- - Configure metadata filtering
- - Implement batch operations and optimization
-
- ## Target Processes
-
- - vector-database-setup
- - rag-pipeline-implementation
-
- ## Implementation Details
-
- ### Core Operations
-
- 1. **Index Management**: Create, configure, delete indices
- 2. **Upsert**: Single and batch vector uploads
- 3. **Query**: Similarity search with metadata filters
- 4. **Fetch/Delete**: Direct vector operations
- 5. **Index Stats**: Monitor index usage
-
- ### Configuration Options
-
- - Index dimension and metric
- - Pod type and replicas
- - Serverless vs pod-based deployment
- - Namespace configuration
- - Metadata schema design
-
- ### Best Practices
-
- - Use appropriate metric for embeddings
- - Design namespaces for isolation
- - Batch upserts for efficiency
- - Implement proper error handling
- - Monitor index performance
-
- ### Dependencies
-
- - pinecone-client
- - langchain-pinecone
+ ---
+ name: pinecone-integration
+ description: Pinecone vector database setup, configuration, and operations for RAG applications
+ allowed-tools:
+ - Read
+ - Write
+ - Edit
+ - Bash
+ - Glob
+ - Grep
+ graph:
+ domains: [domain:software-engineering]
+
+ ---
+
+ # Pinecone Integration Skill
+
+ ## Capabilities
+
+ - Set up Pinecone index and environment
+ - Configure index parameters and pods
+ - Implement upsert and query operations
+ - Design namespace strategies for multi-tenancy
+ - Configure metadata filtering
+ - Implement batch operations and optimization
+
+ ## Target Processes
+
+ - vector-database-setup
+ - rag-pipeline-implementation
+
+ ## Implementation Details
+
+ ### Core Operations
+
+ 1. **Index Management**: Create, configure, delete indices
+ 2. **Upsert**: Single and batch vector uploads
+ 3. **Query**: Similarity search with metadata filters
+ 4. **Fetch/Delete**: Direct vector operations
+ 5. **Index Stats**: Monitor index usage
+
+ ### Configuration Options
+
+ - Index dimension and metric
+ - Pod type and replicas
+ - Serverless vs pod-based deployment
+ - Namespace configuration
+ - Metadata schema design
+
+ ### Best Practices
+
+ - Use appropriate metric for embeddings
+ - Design namespaces for isolation
+ - Batch upserts for efficiency
+ - Implement proper error handling
+ - Monitor index performance
+
+ ### Dependencies
+
+ - pinecone-client
+ - langchain-pinecone