What is a Knowledge Pack?
build it.
Knowledge Packs are curated collections of unstructured data files, enriched with metadata and structure, serving both AI systems and human users as comprehensive, authoritative sources of domain-specific information.
It preprocesses the contents within these files, creating contextual data that enhances understanding. This preprocessing, combined with the creation of metadata, structures the contents and makes them more accessible. The Knowledge Pack is then linked and embedded into a large language model (LLM), enabling more accurate and relevant interactions for human users. By doing so, it ensures that individuals can engage with the information confidently, benefiting from enhanced precision and contextual relevance in their queries.
grow it.
Their primary function is to optimize AI RAG (Retrieval-Augmented Generation) by pre-processing and delivering specific context and relationships within the files of Knowledge Packs. They contain high-dimensional vectors, generated through AI embeddings, that capture semantic relationships within the files.
As queries are executed in AI apps, the output is structured, updated, and stored, creating a dynamic feedback system. This continuous loop builds upon authoritative knowledge, refining the AI’s ability to generate parameterized, relevant, and high-quality outputs. This process enhances the overall effectiveness of the AI application by ensuring Knowledge packs remain up-to-date and aligned with authoritative sources.
use it.
Knowledge Packs, enriched with metadata and optimized for both machine and human use, are the foundation of an advanced knowledge management system. By integrating vector databases, RAG operations and foundation models, Knowledge Packs enable a more intelligent, context-aware approach to information retrieval and application.
Imagine a team working on a complex project, such as developing a new product or entering a new market. The Knowledge Pack specific to their domain would serve as a comprehensive resource. Just plug-in and link to the Knowledge Pack, and it not only offers the raw data, but also the context and relationships that make the content contained in the files meaningful. Knowledge Packs can be packaged and then be easily served as authoritative content in applications for entertainment, learning, and business services.
