![](//www.4rfv.com/4rfv_news_images/nvidia_scripts/FWS4P8NYYYSW_0.jpg)
Generative AI applications have little, or sometimes negative, value without accuracy - and accuracy is rooted in data.
To help developers efficiently fetch the best proprietary data to generate knowledgeable responses for their AI applications, NVIDIA today announced four new NVIDIA NeMo Retriever NIM inference microservices.
Combined with NVIDIA NIM inference microservices for the Llama 3.1 model collection, also announced today, NeMo Retriever NIM microservices enable enterprises to scale to agentic AI workflows - where AI applications operate accurately with minimal intervention or supervision - while delivering the highest accuracy retrieval-augmented generation, or RAG.
NeMo Retriever allows organizations to seamlessly connect custom models to diverse business data and deliver highly accurate responses for AI applications using RAG. In essence, the production-ready microservices enable highly accurate information retrieval for building highly accurate AI applications.
For example, NeMo Retriever can boost model accuracy and throughput for developers creating AI agents and customer service chatbots, analyzing security vulnerabilities or extracting insights from complex supply chain information.
NIM inference microservices enable high-performance, easy-to-use, enterprise-grade inferencing. And with NeMo Retriever NIM microservices, developers can benefit from all of this - superpowered by their data.
These new NeMo Retriever embedding and reranking NIM microservices are now generally available:
NV-EmbedQA-E5-v5, a popular community base embedding model optimized for text question-answering retrieval
NV-EmbedQA-Mistral7B-v2, a popular multilingual community base model fine-tuned for text embedding for high-accuracy question answering
Snowflake-Arctic-Embed-L, an optimized community model, and
NV-RerankQA-Mistral4B-v3, a popular community base model fine-tuned for text reranking for high-accuracy question answering.
They join the collection of NIM microservices easily accessible through the NVIDIA API catalog.
Embedding and Reranking Models NeMo Retriever NIM microservices comprise two model types - embedding and reranking - with open and commercial offerings that ensure transparency and reliability.
Example RAG pipeline using NVIDIA NIM microservices for Llama 3.1 and NeMo Retriever embedding and reranking NIM microservices for a customer service AI chatbot application. An embedding model transforms diverse data - such as text, images, charts and video - into numerical vectors, stored in a vector database, while capturing their meaning and nuance. Embedding models are fast and computationally less expensive than traditional large language models, or LLMs.
A reranking model ingests data and a query, then scores the data according to its relevance to the query. Such models offer significant accuracy improvements while being computationally complex and slower than embedding models.
NeMo Retriever provides the best of both worlds. By casting a wide net of data to be retrieved with an embedding NIM, then using a reranking NIM to trim the results for relevancy, developers tapping NeMo Retriever can build a pipeline that ensures the most helpful, accurate results for their enterprise.
With NeMo Retriever, developers get access to state-of-the-art open, commercial models for building text Q&A retrieval pipelines that provide the highest accuracy. When compared with alternate models, NeMo Retriever NIM microservices provided 30% fewer inaccurate answers for enterprise question answering.
Comparison of NeMo Retriever embedding NIM and embedding plus reranking NIM microservices performance versus lexical search and an alternative embedder. Top Use Cases From RAG and AI agent solutions to data-driven analytics and more, NeMo Retriever powers a wide range of AI applications.
The microservices can be used to build intelligent chatbots that provide accurate, context-aware responses. They can help analyze vast amounts of data to identify security vulnerabilities. They can assist in extracting insights from complex supply chain information. And they can boost AI-enabled retail shopping advisors that offer natural, personalized shopping experiences, among other tasks.
NVIDIA AI workflows for these use cases provide an easy, supported starting point for developing generative AI-powered technologies.
Dozens of NVIDIA data platform partners are working with NeMo Retriever NIM microservices to boost their AI models' accuracy and throughput.
DataStax has integrated NeMo Retriever embedding NIM microservices in its Astra DB and Hyper-Converged platforms, enabling the company to bring accurate, generative AI-enhanced RAG capabilities to customers with faster time to market.
Cohesity will integrate NVIDIA NeMo Retriever microservices with its AI product, Cohesity Gaia, to help customers put their data to work to power insightful, transformative generative AI applications through RAG.
Kinetica will use NVIDIA NeMo Retriever to develop LLM agents that can interact with complex networks in natural language to respond more quickly to outages or breaches - turning insights into immediate action.
NetApp is collaborating with NVIDIA to connect NeMo Retriever microservices to exabytes of data on its intelligent data infrastructure. Every NetApp ONTAP customer will be able to seamlessly talk to their data to access proprietary business insights without having to compromise the security or privacy of their data.
NVIDIA global system integrator partners including Accenture, Deloitte, Infosys, LTTS, Tata Consultancy Services, Tech Mahindra and Wipro, as well as service delivery partners Data Monsters, EXLService (Ireland) Limited, Latentview, Quantiphi, Slalom, SoftServe and Tredence, are developing services to help enterprises add NeMo Retriever NIM microservices into their AI pipelines.
Use
More from Nvidia
06/09/2024
Customer service departments across industries are facing increased call volumes, high customer service agent turnover, talent shortages and shifting customer e...
05/09/2024
Fall will be here soon, so leaf it to GeForce NOW to bring the games, with 19 joining the cloud in September.
Get started with the seven games available to str...
05/09/2024
The business transformations that generative AI brings come with risks that AI itself can help secure in a kind of flywheel of progress.
Companies who were qui...
04/09/2024
Volvo Cars' new, fully electric EX90 is making its way from the automaker's assembly line in Charleston, South Carolina, to dealerships around the U.S.
...
04/09/2024
Editor's note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, softwa...
04/09/2024
Edward Mehr works where AI meets the anvil. The company he cofounded, Machina L...
04/09/2024
It all started at Berlin's Merantix venture studio in 2022, when Silviu Homo...
29/08/2024
Well before OpenAI upended the technology industry with its release of ChatGPT i...
29/08/2024
It's time to mana-fest the spirit of adventure with Square Enix's highly anticipated action role-playing game, Visions of Mana, launching today in the c...
28/08/2024
As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large l...
28/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, softwa...
27/08/2024
The initial wave of generative AI was driven by its use in internet services tha...
27/08/2024
Aiming at making the process faster and smarter, NVIDIA on Wednesday released th...
26/08/2024
Nations around the world are pursuing sovereign AI to produce artificial intelligence using their own computing infrastructure, data, workforce and business net...
23/08/2024
A deep technology conference for processor and system architects from industry a...
22/08/2024
Straight out of Gamescom, NVIDIA introduced GeForce NOW support for Xbox automat...
21/08/2024
Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA's AI Podcast, host Noah Kravitz and Baris...
21/08/2024
Developers of generative AI typically face a tradeoff between model size and acc...
21/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies...
20/08/2024
At Gamescom, the world's biggest gaming expo, NVIDIA has once again pushed t...
20/08/2024
India is home to the globe's second-largest road network, spanning nearly 4 ...
20/08/2024
Picture this: NVIDIA and MediaTek are working together to make the industry's best gaming display technologies more accessible to gamers globally.
The comp...
20/08/2024
NVIDIA's first digital human technology small language model is being demons...
20/08/2024
Each week, GeForce NOW elevates cloud gaming by bringing top PC games and new up...
19/08/2024
As hurricanes, tornadoes and other extreme weather events occur with increased f...
15/08/2024
Time to be wowed: GeForce NOW members can now stream World of Warcraft on suppor...
14/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies...
13/08/2024
Bringing together the world's brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the b...
09/08/2024
The State of California today announced a first-of-its-kind AI education initiative with NVIDIA.
The public-private collaboration supports the state's goal...
08/08/2024
Editor's note: This blog was updated on Aug. 9 to reflect changes to the availability of Warhammer 40,000: Speed Freeks.'
This GFN Thursday marks 2,00...
08/08/2024
Silicon Valley's Figure has taken the wraps off of its next-generation Figur...
07/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, softwa...
07/08/2024
Techbio is a field combining data, technology and biology to enhance scientific ...
06/08/2024
High school student Selin Alara Ornek is looking ahead - using machine learning and the NVIDIA Jetson platform for edge AI and robotics to create robot guide do...
06/08/2024
Editor's note: This post is part of our In the NVIDIA Studio series, which c...
01/08/2024
Members can choose their own adventure with GeForce NOW bringing 18 new games to the cloud in August - including Square Enix's fantasy role-playing game Vis...
31/07/2024
Enterprises are rapidly adopting generative AI, large language models (LLMs), ad...
31/07/2024
NVIDIA researchers used NVIDIA Edify, a multimodal architecture for visual generative AI, to build a detailed 3D desert landscape within a few minutes in a live...
31/07/2024
In celebration of Zoox's 10th anniversary, NVIDIA founder and CEO Jensen Huang recently joined the robotaxi company's CEO, Aicha Evans, and its cofounde...
31/07/2024
Editor's note: This post is part of the AI Decoded series, which demystifies...
29/07/2024
Designers and artists have new and improved ways to boost their productivity wit...
29/07/2024
Millions of people already use generative AI to assist in writing and learning. ...
29/07/2024
One of the world's largest AI communities - comprising 4 million developers on the Hugging Face platform - is gaining easy access to NVIDIA-accelerated infe...
29/07/2024
Generative AI is unlocking new ways for enterprises to engage customers through ...
29/07/2024
The world's brands and agencies are using generative AI to create advertising and marketing content, but it doesn't always provide the desired outputs.
...
29/07/2024
NVIDIA announced at SIGGRAPH fVDB, a new deep-learning framework for generating ...
29/07/2024
When The Coca-Cola Company produces thirst-quenching marketing, the creative ele...
29/07/2024
The generative AI revolution - with deep roots in visual computing - is amplifying human creativity even as accelerated computing promises significant gains in ...
29/07/2024
In a highly anticipated fireside chat at SIGGRAPH 2024, NVIDIA founder and CEO J...