How NVIDIA Uses LangChain
49 engineering articles about LangChain from NVIDIA's engineering team
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The article discusses the launch of NVIDIA's new Nemotron models designed for developing specialized AI agents that integrate language and vision capabilities.
Chris Alexiuk
8 min read
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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...
Edward Li
16 min read
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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.
Nicola Sessions
9 min read
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The article discusses the AI-Q NVIDIA Blueprint, an open-source framework designed to help enterprises leverage their data through AI-powered agents.
Nicola Sessions
8 min read
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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...
Alex Zeltov
8 min read
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The article discusses the NVIDIA NeMo Agent toolkit, an open-source library designed for building and optimizing AI agent workflows.
Wenqi Glantz
11 min read
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The article discusses the benchmarking of agentic large language models (LLMs) and vision-language models (VLMs) using NVIDIA NIM and the BALROG benchmark suite.
Davide Paglieri
6 min read
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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.
Sebastian Haan
8 min read
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The article discusses the launch of NVIDIA NIM microservices designed to enhance AI development on NVIDIA RTX AI PCs and workstations.
Annamalai Chockalingam
6 min read
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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.
Anton Aleksandrov
9 min read
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The article discusses how Tata Consultancy Services (TCS) has doubled the speed of automotive software testing by leveraging NVIDIA's Generative AI technologies.
Manoj C R
8 min read
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This article provides a comprehensive guide on building a human-in-the-loop AI agent using NVIDIA NIM microservices.
Zenodia Charpy
10 min read
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This article provides a comprehensive guide on creating a custom Slackbot LLM agent using NVIDIA NIM and LangChain.
Xhoni Shollaj
9 min read
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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...
Amit Bleiweiss
10 min read
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The article discusses how NVIDIA optimizes data center performance using AI agents and the OODA loop strategy.
Aaron Erickson
11 min read
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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.
Amit Bleiweiss
10 min read
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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.
Hayden Wolff
3 min read
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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).
Kasikrit Chantharuang
6 min read
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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.
Anjali Shah
8 min read
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The article discusses the implementation of a retrieval-augmented generation (RAG) pipeline using Llama 3. 1 and NVIDIA NeMo Retriever NIMs.
Vinay Bagade
7 min read
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The article discusses the Llama 3. 1 collection of large language models (LLMs) and their applications in enterprise settings.
Chintan Patel
10 min read
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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.
Shruthii Sathyanarayanan
7 min read
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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 ...
Amit Bleiweiss
9 min read
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The article discusses how NVIDIA NIM can transform financial analysis by enabling faster and more accurate insights extraction from earnings call transcripts.
Guilherme Pombo
13 min read
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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.
Jesse Clayton
8 min read
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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...
Hayden Wolff
6 min read
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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.
Nisanur Genc
5 min read
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The article provides insights into participating in the Generative AI Agents Developer Contest, highlighting innovative applications using NVIDIA and LangChain technologies.
Mitesh Patel
3 min read
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The article discusses how Amdocs is leveraging NVIDIA NIM to enhance generative AI performance while reducing operational costs in telecommunications.
The article provides a comprehensive guide on building a Retrieval-Augmented Generation (RAG) pipeline using NVIDIA AI LangChain AI Endpoints.
Amit Bleiweiss
13 min read
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This article outlines a structured approach to transitioning Retrieval-Augmented Generation (RAG) applications from pilot to production, emphasizing the role of NVIDIA AI in simplifying this proces...
Jacob Liberman
8 min read
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The article discusses how to build a Retrieval-Augmented Generation (RAG)-powered chatbot in just five minutes using NVIDIA's tools and resources.
The article provides an in-depth introduction to Retrieval-Augmented Generation (RAG) systems, outlining their components, implementation strategies, and best practices for enhancing accuracy and p...
Hayden Wolff
10 min read
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The article provides an introduction to Retrieval-Augmented Generation (RAG) pipelines, highlighting how augmenting large language models (LLMs) with business data can enhance AI applications.
Hayden Wolff
5 min read
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NVIDIA has introduced significant enhancements to the NVIDIA Avatar Cloud Engine (ACE), focusing on AI-powered avatars and digital humans.
This article provides a comprehensive guide for building your first large language model (LLM) agent application, detailing the essential components, frameworks, and a beginner-level tutorial.
Tanay Varshney
9 min read
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The article discusses deploying large language models (LLMs) at the edge using the NVIDIA IGX Orin Developer Kit.
Nigel Nelson
9 min read
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The article discusses prompt injection as a security vulnerability affecting large language models (LLMs), particularly in the context of the LangChain library.
Generative AI technologies are transforming the creation and interaction of non-playable characters (NPCs) in games, enabling developers to create more intelligent and dynamic gaming experiences.
Ike Nnoli
5 min read
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NVIDIA introduces NeMo Guardrails, an open-source toolkit designed to create safe and trustworthy large language model (LLM) conversational systems.
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