What are External Knowledge Bases?
Structured or unstructured data repositories used by AI systems to retrieve information and enhance responses.
More about External Knowledge Bases:
External Knowledge Bases are repositories of information that AI systems access to retrieve relevant data and improve response quality. These can include structured sources like knowledge graphs or unstructured text in vector databases.
Integrating external knowledge bases is crucial for tasks like retrieval-augmented generation (RAG), context-aware generation, and question answering, where grounding responses in factual information is essential.
Frequently Asked Questions
How do external knowledge bases improve AI systems?
They provide accurate and up-to-date information that AI models can use to enhance response relevance and accuracy.
What types of data are stored in external knowledge bases?
They can include structured data (e.g., knowledge graphs) and unstructured text (e.g., articles or documents).
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