kernel-memory
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microsoft
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
### Context / Scenario Actually if you use the AskAsync method of the memory the system will perform a vector search and use the most X relevant result to pass...
### Context / Scenario This issue is kind of a continuation from here: https://github.com/microsoft/kernel-memory/issues/245 We fixed the issue and it’s fine, but we now have another scenario that cannot be...
### Context / Scenario I'm using Kernel memory as a plugin with Semantic Kernel. Before each prompt I count the used tokens from chat history. ### Question I would like...
### Context / Scenario That's a feature that already exists in langchain and will be beneficial to save costs. The idea will be to ported from phyton to c# https://github.com/zilliztech/GPTCache...
### Context / Scenario Hi, I was able to implement a memory kernel plugin. The idea is to have a chatbot that answers only to questions from internal documents. If...
### Context / Scenario In service mode (using a queue), when trying to import a corrupted document (i.e., invalid PDF file), decoder will throw an exception, but then the message...
### Context / Scenario Hi, I'm using Semantic Kernel with Azure Open AI services to build a chat solution. This works great, but now I want to add Memory to...
Hi, We're using your library in our project. It get us up to speed preety fast in these new AI topics, so thank you for that :). I was wondering...
### Context / Scenario Currently, pipeline failures aren't handled at all: https://github.com/microsoft/kernel-memory/blob/775301a1cdd84ab7a54458d3fa453a8763c0744d/service/Abstractions/Pipeline/DataPipeline.cs#L434-L439 ### The problem It is important to keep track of errors that occurs during pipeline exectuion. ### Proposed...
### Context / Scenario Heya! I love Kernel Memory and it's been incredibly useful in building out RAG experiences in my world. It took a little experimentation to get up...
