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Average Ratings 0 Ratings

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ease
features
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support

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Description

Design AI agents capable of reasoning, planning, reflecting, and refining to create comprehensive reports utilizing selected source materials. An AI research agent, drawing from a multitude of data sources, can condense extensive research efforts into mere minutes. The AI-Q NVIDIA Blueprint empowers developers to construct AI agents that leverage reasoning skills and connect with various data sources and tools, efficiently distilling intricate source materials with remarkable precision. With AI-Q, these agents can summarize vast data collections, generating tokens five times faster while processing petabyte-scale data at a rate 15 times quicker, all while enhancing semantic accuracy. Additionally, the system facilitates multimodal PDF data extraction and retrieval through NVIDIA NeMo Retriever, allows for 15 times faster ingestion of enterprise information, reduces retrieval latency by three times, and supports multilingual and cross-lingual capabilities. Furthermore, it incorporates reranking techniques to boost accuracy and utilizes GPU acceleration for swift index creation and search processes, making it a robust solution for data-driven reporting. Such advancements promise to transform the efficiency and effectiveness of AI-driven analytics in various sectors.

Description

BGE (BAAI General Embedding) serves as a versatile retrieval toolkit aimed at enhancing search capabilities and Retrieval-Augmented Generation (RAG) applications. It encompasses functionalities for inference, evaluation, and fine-tuning of embedding models and rerankers, aiding in the creation of sophisticated information retrieval systems. This toolkit features essential elements such as embedders and rerankers, which are designed to be incorporated into RAG pipelines, significantly improving the relevance and precision of search results. BGE accommodates a variety of retrieval techniques, including dense retrieval, multi-vector retrieval, and sparse retrieval, allowing it to adapt to diverse data types and retrieval contexts. Users can access the models via platforms like Hugging Face, and the toolkit offers a range of tutorials and APIs to help implement and customize their retrieval systems efficiently. By utilizing BGE, developers are empowered to construct robust, high-performing search solutions that meet their unique requirements, ultimately enhancing user experience and satisfaction. Furthermore, the adaptability of BGE ensures it can evolve alongside emerging technologies and methodologies in the data retrieval landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Baseten
Hugging Face
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Tavily

Integrations

Baseten
Hugging Face
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Tavily

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

build.nvidia.com/nvidia/aiq

Vendor Details

Company Name

BGE

Founded

2025

Country

United States

Website

bge-model.com/Introduction/index.html

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