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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Datavolo No 
IBM watsonx.data No 
LangChain Yes 
Langflow No 
Milvus Yes 
Model Context Protocol (MCP) No 
NVIDIA AI Data Platform Yes 
NVIDIA AI Enterprise Yes 
NVIDIA NeMo Yes 
Tavily Yes 

Integrations

Datavolo Yes 
IBM watsonx.data Yes 
LangChain No 
Langflow Yes 
Milvus No 
Model Context Protocol (MCP) Yes 
NVIDIA AI Data Platform No 
NVIDIA AI Enterprise No 
NVIDIA NeMo No 
Tavily No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

build.nvidia.com/nvidia/aiq

Vendor Details

Company Name

Vectara

Founded

2020

Country

United States

Website

vectara.com

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

Alternatives

Alternatives

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