Search PDFs at Scale with MongoDB and Nomic

The latest advancements in AI have disrupted the way unstructured data is accessed, making it easier for companies to extract information from PDFs. Nomic Embed, a machine learning company specializing in explainable and accessible AI, has partnered with MongoDB Atlas Vector Search to provide an affordable and powerful AI-powered search solution for large PDF collections. This partnership enables organizations to efficiently process high volumes of PDFs and improve database retrieval speed. The combination of Nomic Embeddings and MongoDB Atlas offers a cost-effective and integrated toolset for advanced retrieval-augmented generation (RAG) applications, allowing users to ask natural language questions about the content of PDFs and receive structured answers. This technology has various industry use cases, including financial services, retail, and manufacturing, where it can significantly enhance information discovery and operational efficiency.