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### Motivation and Context Adding a Pinecone Memory store using the Pinecone vector database client for SK python Add Pinecone vector db memory to SK Python Memory storage for SK and vectors ### Description - Using the existing pinecone python module/client - Reviewing with console exceptions responses that come back from pinecone, will update if any were omitted - Currently investigating and would like feedback if I should respond to throttling errors in a different manner - Currently testing each API response, slight delay may occur due to throttling of my starter account in Pinecone. ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [ ] The code builds clean without any errors or warnings - [X] The PR follows SK Contribution Guidelines (https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) - [ ] The code follows the .NET coding conventions (https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions) verified with `dotnet format` - [ ] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄 --------- Co-authored-by: Lee Miller <[email protected]> Co-authored-by: Casey Schadewitz <[email protected]> Co-authored-by: cschadewitz <[email protected]> Co-authored-by: Abby Harrison <[email protected]> Co-authored-by: Devis Lucato <[email protected]> Co-authored-by: Dmytro Struk <[email protected]> Co-authored-by: Shawn Callegari <[email protected]>
8 lines
160 B
Bash
8 lines
160 B
Bash
OPENAI_API_KEY=""
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OPENAI_ORG_ID=""
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AZURE_OPENAI_DEPLOYMENT_NAME=""
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AZURE_OPENAI_ENDPOINT=""
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AZURE_OPENAI_API_KEY=""
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PINECONE_API_KEY=""
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PINECONE_ENVIRONMENT=""
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