Willow Ventures

Making multi-vector retrieval as fast as single-vector search | Insights by Willow Ventures

Making multi-vector retrieval as fast as single-vector search | Insights by Willow Ventures

Understanding Neural Embedding Models in Information Retrieval Neural embedding models are increasingly vital in modern information retrieval (IR), transforming how we find relevant data. This post explores their workings, the advantages of multi-vector models, and a novel solution to enhance retrieval efficiency. What Are Neural Embedding Models? Neural embedding models convert data points into single-vector […]

Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG | Insights by Willow Ventures

Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG | Insights by Willow Ventures

Liquid AI Launches LFM2-ColBERT-350M: Revolutionizing Multilingual and Cross-Lingual Search Liquid AI has introduced the LFM2-ColBERT-350M, a state-of-the-art compact late interaction retriever designed for efficient multilingual and cross-lingual document retrieval. This innovative model enables users to index documents in one language while querying in multiple languages, enhancing search accuracy and speed. What is Late Interaction and […]