examples

Kernel Memory sample code

Some examples about how to use Kernel Memory.

1. Collection of Jupyter notebooks with various scenarios
2. Using Kernel Memory web service to upload documents and answer questions
3. Importing files and asking question without running the service (serverless mode)
4. Using KM Plugin for Semantic Kernel
5. Customizations
   • Processing files with custom logic (custom handlers) in serverless mode
   • Processing files with custom logic (custom handlers) in asynchronous mode
   • Customizing RAG and summarization prompts
   • Custom partitioning/text chunking options
   • Using a custom embedding/vector generator
   • Using custom content decoders
   • Using a custom web scraper to fetch web pages
   • Writing and using a custom ingestion handler
   • Using Context Parameters to customize RAG prompt during a request
6. Local models and external connectors
   • Using custom LLMs
   • Using local LLMs with Ollama
   • Using local LLMs with llama.cpp via LlamaSharp
   • Using local models with LM Studio
   • Using Semantic Kernel LLM connectors
   • Generating answers with Anthropic LLMs
7. Upload files and ask questions from command line using curl
8. Summarizing documents, using synthetic memories
9. Hybrid Search with Azure AI Search
10. Running a single asynchronous pipeline handler as a standalone service
11. Integrating Memory with ASP.NET applications and controllers
12. Sample code showing how to extract text from files
13. .NET configuration and logging
14. Expanding chunks retrieving adjacent partitions
15. Creating a Memory instance without KernelMemoryBuilder
16. Intent Detection
17. Fetching data from Discord
18. Test project using KM package from nuget.org