Miscellaneous
Knowledge Base
A knowledge base stores facts, documents, FAQs, and structured data that an AI system draws upon to answer questions. In RAG architectures, the knowledge base is the document store that is indexed and retrieved from at query time.
Enterprise knowledge bases are the primary mechanism for grounding LLMs in company-specific information—product documentation, support articles, policies—without fine-tuning. Knowledge base quality directly determines RAG system accuracy.
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Related Terms
Techniques & Methods
Retrieval Augmented Generation (RAG)
An inference-time architecture that retrieves relevant documents from a knowledge base or web index and injects them into a language model's context before generation, grounding answers in real source material.
Techniques & Methods
Knowledge Representation
Methods AI systems use to model, store, and reason over knowledge about the world.
Miscellaneous
Vector Store
Specialized database for storing, indexing, and efficiently retrieving high-dimensional vector embeddings.
Miscellaneous
Dataset
An organized collection of data examples prepared for training, evaluating, or testing AI models.