MicrosoftOCTO
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- 514,251 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Kernel Memory is a Copilot/Semantic Kernel Plugin and Memory Web Service to index and query any data and documents, using LLM and natural language, tracking sources and showing citations. The package contains... More information -
- 445,610 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
The package contains the the core logic and abstractions of Kernel Memory, not including extensions. -
- 391,866 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Provide access to OpenAI LLM models in Kernel Memory to generate embeddings and text -
- 378,421 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Provide access to Azure OpenAI LLM models in Kernel Memory to generate embeddings and text -
- 376,069 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Azure AI Search connector for Microsoft Kernel Memory, to store and search memory using Azure AI Search vector indexing and semantic features. -
- 355,654 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Qdrant connector for Microsoft Kernel Memory, to store and search memory using Qdrant vector indexing and Qdrant features. -
- 355,361 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Add Azure AI Document Intelligence to Kernel Memory to extract content from images and documents. -
- 352,255 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Azure Queue Storage connector for Microsoft Kernel Memory, to run asynchronous pipelines via Azure Queue Storage queues. -
- 265,372 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Postgres(with pgvector extension) connector for Microsoft Kernel Memory, to store and search memory using Postgres vector indexing and Postgres features. -
- 233,879 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
RabbitMQ connector for Microsoft Kernel Memory, to run asynchronous pipelines via RabbitMQ queues. -
- 230,904 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Redis connector for Microsoft Kernel Memory, to store and search memory using Redis vector search and other Redis features. -
- 217,142 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Provide access to OpenAI LLM models in Kernel Memory to generate text -
- 205,301 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
MongoDb Atlas connector for Microsoft Kernel Memory, to store and search memory records with embeddings, and files. -
- 200,445 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
MS SQLServer connector for Microsoft Kernel Memory, to store and search memory using MSSQL. -
- 199,746 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Elasticsearch connector for Microsoft Kernel Memory, to store and search memory using Elasticsearch vector search and other Elasticsearch features. -
- 196,952 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Azure Blob Storage adapter allowing Kernel Memory to upload documents and maintain their state in Azure Blobs -
- 192,614 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Provide access to Anthropic LLM models in Kernel Memory -
- 172,457 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Kernel Memory Web Client allows to connect to Kernel Memory Web Service to index and query any data and documents, using LLM and natural language, tracking sources and showing citations. -
- Deprecated
- 159,640 total downloads
- last updated 5/13/2024
- Latest version: 0.51.240513.2
Azure Blob Storage adapter allowing Kernel Memory to upload documents and maintain their state in Azure Blobs -
- 134,204 total downloads
- last updated 12/1/2024
- Latest version: 0.94.241201.1
Kernel Memory Plugin allows to use Kernel Memory Service as a Semantic Kernel plugin, to index and query any data and documents, using LLM and natural language, tracking sources and showing citations.
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