browser extensions and ChatGPT assistants. As a service, KM can be used from any language, tool, NET, which eliminates the need to write and maintainįeatures in multiple languages. It provides severalįeatures that would otherwise have to be developed manually, such as storing files,Įxtracting text from files, providing a framework to secure users' data, etc. Kernel Memory (KM) is a service built on the feedback received and lessons learnedįrom developing Semantic Kernel (SK) and Semantic Memory (SM). Storage engines (known as 'connectors') varies across languages. The core library is maintained in three languages, while the list of supported Kernel (SK) project and serves as the first public iteration of long-term memory. Semantic Memory (SM) is a library for C#, Python, and Java that wraps direct calls Kernel Memory (KM) and Semantic Memory (SM)
Querying for obtaining answers from the indexed data, complete with citationsĭesigned for seamless integration as a Plugin withĬopilot and ChatGPT, Kernel Memory enhances data-driven features in applicationsīuilt for most popular AI platforms. Utilizing advanced embeddings and LLMs, the system enables Natural Language NET library for embedded applications, and soon as a Docker container. Synthetic memory, prompt engineering, and custom semantic memory processing. Specialized in the efficient indexing of datasets through custom continuous data
Kernel Memory (KM) is a multi-modal AI Service
