Definition
A structured collection of data, documents, and information organised in a way that allows a Large Language Model (LLM) to efficiently access and utilise it for tasks like answering questions, generating text, or providing context.
Why it matters (in Poovi’s context)
Enables LLMs to draw upon specific, proprietary, or specialised information, creating a competitive advantage (‘data moat’) and improving the relevance and accuracy of AI outputs.
Key properties or components
- Organised data storage
- Efficient retrieval
- Custom information ingestion
- Data moat creation
Contradictions or debates
Building and maintaining an effective knowledge base requires significant effort in data curation and organisation. The effectiveness also depends on the LLM’s ability to effectively index and query this knowledge.