Team

Mathis Embit

Mathis Embit

AI Research Engineer

SPLADE: Combining Sparse and Semantic Approaches

SPLADE: Combining Sparse and Semantic Approaches

In Information Retrieval (IR), current research focuses on leveraging neural networks to find documents relevant to a query. Earlier …

Sparse Embeddings Demystified: From One-Hot Encoding to BM25

Sparse Embeddings Demystified: From One-Hot Encoding to BM25

This blog article aims to clarify some Information Retrieval (IR) methods related to sparse embeddings (or sparse vectors). We will study …

Reranking in RAG: Enhancing Accuracy with Cross-Encoders

Reranking in RAG: Enhancing Accuracy with Cross-Encoders

Reranking has became a must-have in a Retrieval-Augmented Generation (RAG) stack. This powerful technique enables filtering results from a …