LangChain Integrates NVIDIA NIM for GPU-optimized LLM Inference in RAG

OpenAI launched ChatGPT about a year and a half ago, marking the beginning of the generative AI era. Since then, there has been rapid growth and widespread adoption across various industries. As companies shift from prototyping large language models (LLMs) to deploying them in production, many are looking for self-hosted solutions instead of third-party model services. LangChain is excited about the integration with NVIDIA's new microservices platform, NVIDIA Neural Inference Microservices (NIM), which accelerates the deployment of generative AI across enterprises. NIM supports a wide range of AI models and leverages industry-standard APIs for quick development of enterprise-grade applications. It is self-hosted, scalable, and comes with prebuilt containers, making it an attractive option for businesses looking to deploy AI applications. NVIDIA NIM can be accessed through the NVIDIA API catalog as part of the NVIDIA AI Enterprise platform. LangChain has added a new integration package that supports NIM, allowing developers to use NVIDIA-based models in their applications while keeping data on premises.