Advanced Retrieval with ColPali & Qdrant Vector Database - Qdrant

What this post added

Introduces ColPali, a multimodal retrieval approach that uses Vision Language Models (VLMs) to process document images directly, creating multi-vector embeddings from both visual and textual content. Details the integration of ColPali with Qdrant, including the use of Binary Quantization for optimizing storage and computational load, and presents results showing a 2x faster search time compared to Scalar Quantization while maintaining accuracy.