How NVIDIA Uses LangChain

Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning…

Learn how NVIDIA NeMo Switchyard routes AI agent workloads across models using tuning-free and tunable routers that balance model capability, cost, and latency.

Agentic systems often face a trade-off between accuracy and cost. The highest-performing proprietary frontier models and harnesses provide top accuracy but are…

AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep…

Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete…

Agent harnesses like Claude Code, Codex, and LangChain Deep Agents are excellent orchestrators. They manage sessions, chain tools, execute code…

Modern supply chains operate under the constant pressures of fluctuating demand, volatile costs, constrained capacity, and interdependent decision-making.

The subsurface industry is at a critical point in its digital evolution. For decades, unlocking reservoir potential has relied on experts performing essential…

DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at enabling highly efficient million…

Agentic AI is an ecosystem where specialized models work together to handle planning, reasoning, retrieval, and safety guardrailing. As these systems scale…

While consumer AI offers powerful capabilities, workplace tools often suffer from disjointed data and limited context. Built with LangChain, the NVIDIA AI-Q…

Reasoning models are growing rapidly in size and are increasingly being integrated into agentic AI workflows that interact with other models and external tools.

The article discusses the launch of NVIDIA's new Nemotron models designed for developing specialized AI agents that integrate language and vision capabilities.

The article provides a comprehensive guide on building a Retrieval-Augmented Generation (RAG) agent using NVIDIA Nemotron, emphasizing the integration of external information to enhance text genera...

The article discusses the evolution of AI agents from relying on static training data to utilizing dynamic knowledge through Retrieval-Augmented Generation (RAG) and AI query engines.

The article discusses the AI-Q NVIDIA Blueprint, an open-source framework designed to help enterprises leverage their data through AI-powered agents.

The article discusses the integration of AI workflows in automating trade capture and evaluation processes, emphasizing the challenges of achieving high reliability with free-form text inputs.

The article discusses optimizing Vanna's text-to-SQL inference using NVIDIA NIM to enhance analytics performance.

The article discusses the integration of NVIDIA NIM microservices into Azure AI Foundry, highlighting how this collaboration enhances enterprise AI development by enabling efficient deployment of A...

The article discusses the NVIDIA NeMo Agent toolkit, an open-source library designed for building and optimizing AI agent workflows.

The article discusses the benchmarking of agentic large language models (LLMs) and vision-language models (VLMs) using NVIDIA NIM and the BALROG benchmark suite.

The article discusses the development of an AI-powered tool for automatic citation validation using NVIDIA NIM, aimed at improving the accuracy of citations in academic and AI-generated content.

The article discusses the launch of NVIDIA NIM microservices designed to enhance AI development on NVIDIA RTX AI PCs and workstations.

The article discusses the introduction of Gemma 3, a range of lightweight, multimodal, and multilingual models optimized for performance in AI applications.

This article discusses the creation of a multimodal information retrieval system using NVIDIA NIM and LangGraph, focusing on the deployment of vision language models (VLMs) to process diverse data ...

The article discusses the automation of early security patching in continuous integration (CI) pipelines on AWS using NVIDIA AI Blueprints.

The article discusses how Tata Consultancy Services (TCS) has doubled the speed of automotive software testing by leveraging NVIDIA's Generative AI technologies.

This article provides a comprehensive guide on building a human-in-the-loop AI agent using NVIDIA NIM microservices.

This article provides a comprehensive guide on creating a custom Slackbot LLM agent using NVIDIA NIM and LangChain.

The article discusses advanced Retrieval-Augmented Generation (RAG) techniques applied to telecommunications standards, specifically O-RAN, using NVIDIA NIM microservices.

The article discusses the integration of retrieval-augmented generation (RAG) in medical applications, emphasizing its potential to enhance patient care and research by combining large language mod...

The article discusses how NVIDIA optimizes data center performance using AI agents and the OODA loop strategy.

The article discusses how xpander AI enhances NVIDIA NIM applications by providing agentic tools that facilitate real-time data fetching and interaction with external systems.

The article discusses how to build AI agents using NVIDIA NIM microservices in conjunction with LangChain, focusing on the capabilities of the Llama 3. 1 model.

The article discusses the integration of NVIDIA NIM and NVIDIA NeMo Guardrails to enhance the security and compliance of generative AI applications powered by large language models (LLMs).

The article discusses the significance of re-ranking in enhancing retrieval-augmented generation (RAG) pipelines and semantic search results.

The article discusses the launch of Meta's Llama 3.

The article discusses the implementation of a retrieval-augmented generation (RAG) pipeline using Llama 3. 1 and NVIDIA NeMo Retriever NIMs.

The article discusses the Llama 3. 1 collection of large language models (LLMs) and their applications in enterprise settings.

The article discusses how Infosys leverages NVIDIA NIM and NeMo Retriever to enhance network operations centers (NOCs) for telecom companies.

The article discusses how Infosys has automated the generation of TOSCA templates for telecom network design using NVIDIA NIM and NVIDIA NeMo.

The article discusses how hybrid retrieval-augmented generation (RAG) can optimize AI model performance while maintaining data privacy.

The article discusses the deployment of multilingual large language models (LLMs) using NVIDIA NIM, highlighting the importance of effective communication across languages in a globalized business ...

The article discusses how NVIDIA NIM can transform financial analysis by enabling faster and more accurate insights extraction from earnings call transcripts.

NVIDIA has launched the NVIDIA RTX AI Toolkit, a comprehensive suite of tools and SDKs designed for Windows application developers to customize, optimize, and deploy AI models.

The article provides a comprehensive guide on deploying generative AI using NVIDIA NIM microservices, highlighting its ease of use for enterprise developers in both on-premises and cloud environmen...

The article discusses how to build safer LLM applications using LangChain Templates and NVIDIA NeMo Guardrails.

The article discusses the integration of AI chatbots, particularly Gipi, with NVIDIA TensorRT-LLM and AI foundation models to enhance personalized learning experiences.

The article provides insights into participating in the Generative AI Agents Developer Contest, highlighting innovative applications using NVIDIA and LangChain technologies.

The article discusses how Amdocs is leveraging NVIDIA NIM to enhance generative AI performance while reducing operational costs in telecommunications.