GenAI Apps from Concept to Production: Powered by NVIDIA, Scaled & Simplified by Nexla

Taking a Retrieval-Augmented Generation (RAG) solution from demo to full-scale production is a long and complex journey for most enterprises. At the core are two challenges. First, scalable ingestion pipelines that can prepare vast amounts of unstructured and structured data for GenAI. Second, performant RAG pipelines that orchestrate multiple algorithms and LLMs to deliver quality answers with security and governance. Nexla and NVIDIA have joined forces to address these challenges, making it easy to create enterprise-grade pipelines that are GPU-accelerated bringing tremendous gains in productivity, performance, and cost while being future-proof.

Enterprise Challenges: Data Ingestion and RAG Workflows

Enterprises often deal with millions of documents, images, and videos stored across platforms such as SharePoint, FTP, S3, and Dropbox. In addition, there is rich data in enterprise databases, applications, and services. Efficiently transforming all this data into actionable insights using RAG workflows can be challenging. Nexla’s no-code/low-code platform provides a robust solution for making any data GenAI Ready, while NVIDIA’s hardware-accelerated inference microservices (NIM) boost the speed of every pipeline stage including document parsing, Optical Character Recognition (OCR), embedding generation, re-ranking, LLM execution, and more. Together, Nexla and NVIDIA streamline the implementation of RAG workflows that allow enterprises to scale data ingestion and optimize retrieval.

With Nexla’s platform, businesses can ingest data from diverse sources, choose embedding models with a single click, and leverage NVIDIA NIM for fast and accurate query optimization. This makes scaling RAG solutions simple, helping businesses build trust and confidence to promote their GenAI apps to production.

Nexla’s CEO, Saket Saurabh, emphasizes the significance of this collaboration:
“Scaling generative AI from demos to production-grade solutions is a big challenge for enterprises. Our collaboration addresses this by integrating NVIDIA NIM into Nexla’s no-code/low-code platform for Document ETL, with the potential to scale multimodal ingestion across millions of documents in enterprise systems, including SharePoint, SFTP, S3, Network Drives, Dropbox, and more.”
Saurabh adds, “Nexla will support NIM in both cloud and private data center environments, helping customers accelerate their AI roadmap.”

Key Benefits of the Nexla-NVIDIA Collaboration

1. Seamless Document Ingestion
   Nexla’s connectors handle large volumes of structured and unstructured data, processing charts, images, tables, and text – critical to enabling powerful RAG workflows.
2. Accelerated Embedding and Retrieval
   NVIDIA’s NIM microservices accelerate document parsing and embedding generation, transforming data into vector embeddings optimized for RAG. Nexla’s platform allows businesses to easily integrate and test pre-configured Large Language Models (LLMs) for efficient retrieval and re-ranking of relevant data.
3. Scalable RAG Workflow
   Nexla enables enterprises to design scalable RAG workflows with modules for re-ranking, retrieval, and evaluation. Enterprises can test multiple models in parallel, ensuring that relevant data is surfaced in real-time, improving decision-making. NIMs for re-ranking, LLM execution, and SQL generation deliver speed and cost efficiency by enabling a single GPU-powered container to handle tasks that previously required over ten non-GPU containers.
4. Flexible Deployment
   Available across SaaS, Private Cloud, and On-Premise environments, Nexla’s integration with NVIDIA hardware supports diverse enterprise infrastructure needs, enabling AI workflows to scale seamlessly.

Empowering Enterprises with Scalable RAG-Powered GenAI Solutions

Nexla’s integration of NVIDIA NIM microservices into its no-code/low-code platform empowers enterprises to accelerate their RAG workflows and overall GenAI roadmap. The combination of Nexla’s data ingestion capabilities together with NVIDIA’s hardware acceleration ensures businesses can quickly move from demo solutions to production-grade AI.

By streamlining multimodal data extraction and retrieval through advanced RAG workflows, Nexla and NVIDIA enable organizations to unlock insights from vast data stores, enhancing efficiency and building trust and confidence in decision-making. Whether the data resides in PDFs, images, or complex tables, Nexla and NVIDIA simplify the process, allowing enterprises to harness the full potential of GenAI.

Take RAG Solutions from Concept to Production with Nexla and NVIDIA

Discover how Nexla and NVIDIA can help your enterprise scale GenAI applications from demo to production.

Schedule a demo and experience the power of hardware-accelerated GenAI tailored to your business needs.