Generative AI

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Markdown for the component era | MDX
Markdown for the component era | MDX
MDX lets you use JSX in your markdown content. You can import components, such as interactive charts or alerts, and embed them within your content. This makes writing long-form content with components a blast.
·mdxjs.com·
Markdown for the component era | MDX
TEN-framework/TEN-Agent: TEN Agent is a realtime conversational AI agent powered by TEN. It seamlessly integrates the OpenAI Realtime API, RTC capabilities, and advanced features like weather updates, web search, computer vision, and Retrieval-Augmented Generation (RAG).
TEN-framework/TEN-Agent: TEN Agent is a realtime conversational AI agent powered by TEN. It seamlessly integrates the OpenAI Realtime API, RTC capabilities, and advanced features like weather updates, web search, computer vision, and Retrieval-Augmented Generation (RAG).
TEN Agent is a realtime conversational AI agent powered by TEN. It seamlessly integrates the OpenAI Realtime API, RTC capabilities, and advanced features like weather updates, web search, computer ...
·github.com·
TEN-framework/TEN-Agent: TEN Agent is a realtime conversational AI agent powered by TEN. It seamlessly integrates the OpenAI Realtime API, RTC capabilities, and advanced features like weather updates, web search, computer vision, and Retrieval-Augmented Generation (RAG).
Agora Real-Time Voice and Video Engagement
Agora Real-Time Voice and Video Engagement
The Real-Time Engagement Platform for meaningful human connections. People engage longer when they see, hear, and interact with each other. With Agora, you can embed vivid voice and video in any application, on any device, anywhere.
·agora.io·
Agora Real-Time Voice and Video Engagement
HeyGen - AI Spokesperson Video Creator
HeyGen - AI Spokesperson Video Creator
Interactive Avatar, Personalized Video, Expressive Photo Avatar... Cooking up the next AI magic with cutting-edge HeyGen Labs innovation.
·labs.heygen.com·
HeyGen - AI Spokesperson Video Creator
Rig - Build Powerful LLM Applications in Rust
Rig - Build Powerful LLM Applications in Rust
Rig: Build modular and scalable LLM Applications in Rust. Unified LLM interface, Rust-powered performance, and advanced AI workflow abstractions for efficient development.
·rig.rs·
Rig - Build Powerful LLM Applications in Rust
unwind ai
unwind ai
Latest AI news, tools and tutorials for AI Developers
·theunwindai.com·
unwind ai
LightRAG — Simple and efficient rival to GraphRAG?
LightRAG — Simple and efficient rival to GraphRAG?
Traditional RAG systems work by indexing raw data. This data is simply chunked and stored in vector DBs. Whenever a query comes from the user, it queries the stored chunks and retrieves relevant chunks. If you wish to learn the fundamentals of RAG I have written a comprehensive intro about
·ai-bites.net·
LightRAG — Simple and efficient rival to GraphRAG?
Magic Loops
Magic Loops
Combine LLMs and code to create simple automations
·magicloops.dev·
Magic Loops
The AI In Fintech Market Map
The AI In Fintech Market Map
Startups are using AI to improve and expand credit offerings, insurance options, personal finance services, and regulatory software.
·cbinsights.com·
The AI In Fintech Market Map
OnDemand
OnDemand
Discover OnDemand, a cutting-edge Platform as a Service (PaaS) powered by RAG AI technology. Designed to seamlessly integrate AI into your existing systems, OnDemand redefines business operations, turning complexity into your strategic advantage.
·on-demand.io·
OnDemand
Andrew-Jang/RAGHub: A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
Andrew-Jang/RAGHub: A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem. - Andrew-Jang/RAGHub
·github.com·
Andrew-Jang/RAGHub: A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.