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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
Agno is a streamlined framework designed for creating agents equipped with memory, knowledge, tools, and reasoning capabilities. It allows developers to construct a variety of agents, including reasoning agents, multimodal agents, teams of agents, and comprehensive agent workflows. Additionally, Agno features an attractive user interface that facilitates communication with agents and includes tools for performance monitoring and evaluation. Being model-agnostic, it ensures a consistent interface across more than 23 model providers, eliminating the risk of vendor lock-in. Agents can be instantiated in roughly 2μs on average, which is about 10,000 times quicker than LangGraph, while consuming an average of only 3.75KiB of memory—50 times less than LangGraph. The framework prioritizes reasoning, enabling agents to engage in "thinking" and "analysis" through reasoning models, ReasoningTools, or a tailored CoT+Tool-use method. Furthermore, Agno supports native multimodality, allowing agents to handle various inputs and outputs such as text, images, audio, and video. The framework's sophisticated multi-agent architecture encompasses three operational modes: route, collaborate, and coordinate, enhancing the flexibility and effectiveness of agent interactions. By integrating these features, Agno provides a robust platform for developing intelligent agents that can adapt to diverse tasks and scenarios.
API Access
Has API
API Access
Has API
Integrations
AG-UI
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Oxylabs
Python
Tavily
xpander.ai
Integrations
AG-UI
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Oxylabs
Python
Tavily
xpander.ai
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
Agno
Country
United States
Website
github.com/agno-agi/agno