Vector Databases Explained
A vector database stores numeric representations of content and finds the closest matches by meaning, not exact keywords, making it the retrieval backbone behind most RAG and enterprise knowledge systems.
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RAG vs. Fine-Tuning: Choosing the Right Approach
RAG and fine-tuning are two different ways to make a general AI model useful for your specific data and needs. Most enterprise use cases are better served by RAG; fine-tuning solves a narrower, different problem.
Read articleWhat Is RAG (Retrieval-Augmented Generation)?
RAG (retrieval-augmented generation) grounds an AI model's answers in passages retrieved from your own documents at query time, rather than relying solely on what the model learned during training.
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