Knowledge Architecture has been working on two major AI projects for the last six months — Next Generation Search and Video Captioning.
At the same time, we have been developing an opt-in program called Community AI to create AEC-specific AI Infrastructure by training AI models on client content for the mutual benefit of participating firms.
We’re super excited about what we’re building and we hope you are too.
AI-Powered Enterprise Search for AEC Firms
Next Generation Search will bring AI-powered Enterprise Search to Synthesis.
In this video, we share our approach to both AI and Enterprise Search, including:
AI-Generated Search Summaries
Three Challenges with End-User Facing Large Language Models (LLMs)
Benefits of Retrieval-Augmented Generation (RAG)
Vector Search Basics
Benefits of Combining Keyword Search with Vector Search
Community AI Program Overview
Why We’re Building an AEC-Specific Embeddings Model
Enterprise Search Roadmap
Next Steps + Timeline for Public Beta
AI-Generated + AEC-Specific Video Captions
We’ll be releasing an update this spring that will add AI-generated captions, transcripts, and chapters, along with several other enhancements to Synthesis Native Video.
In this video, we go behind the scenes into:
Our AI-Powered Video Captioning Infrastructure
Community AI Program Overview
Benefits of our AEC-Specific Video Transcription Model
Next Steps + Release Timing
Introducing Our Community AI Program
Community AI is an opt-in program that will empower Knowledge Architecture to create AEC-specific AI Infrastructure by training AI models on client content for the mutual benefit of participating firms, while also protecting confidentiality and intellectual property.
In the pursuit of researching two use cases for AI — Next Generation Search and Video Captions — we discovered a unique opportunity to work with our AEC client community to achieve more relevant search results and better captioning.
Thus, Community AI was born.
