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Deep learning

Create, train, and deploy self-learning models.

Deep learning is the ability of a system to learn from unstructured data. Relying on layers of artificial neural networks, the learning can be supervised or unsupervised.

25 June 2025

Article

How the ColBERT re-ranker model in a RAG system works

ColBERT (Contextualized Late Interaction over BERT) is a retrieval model that is designed to strike a balance between the efficiency of traditional methods like BM25 and the accuracy of deep learning models like BERT, an open source deep learning model used for natural language understanding. ColBERT uses the late interaction and MaxSim scoring method to rank the documents based on their relevance to the query. This scoring method furnishes better retrieval because of fine-grained matching and context awareness.

How the ColBERT re-ranker model in a RAG system works
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