Originally published at: Building a Simple VLM-Based Multimodal Information Retrieval System with NVIDIA NIM | NVIDIA Technical Blog
In today’s data-driven world, the ability to retrieve accurate information from even modest amounts of data is vital for developers seeking streamlined, effective solutions for quick deployments, prototyping, or experimentation. One of the key challenges in information retrieval is managing the diverse modalities in unstructured datasets, including text, PDFs, images, tables, audio, video, and so…
We built this tool to provide a multimodal QA system that delivers answers blending images, tables, and text in an organic way.
We also wanted to explore the potential of Information Retrieval using LLMs with long-context and agents, and to showcase the usage of VLMs powered by NVIDIA NIMs.
This fun project is designed to spark conversation on the future of information retrieval.
We’d love to hear your questions and thoughts!