In the era of information explosion, we are constantly searching for knowledge in the vast ocean of the internet. However, have you ever felt that existing search engines are like digging for treasures in a landfill? Fear not, Exa AI is here to revolutionize this.
Exa AI, a rising AI search engine company, recently announced it has secured $17 million in Series A funding, led by Lightspeed with participation from Nvidia's NVentures and Y Combinator. Unlike other search engines, Exa aims to become a dedicated AI search tool.
The internet is a treasure trove of knowledge, yet the search experience often feels like getting lost in an ocean of information. Exa's mission is to reorganize this knowledge, filtering out irrelevant information and extracting true knowledge through advanced search algorithms.
Technical Highlights:
Vector databases and embedding models: Exa uses these technologies to predict the next relevant link rather than the next word, enabling Exa to handle linked datasets and provide unique search results.
Semantic search: Exa understands the semantics of queries, not just keyword matching, offering more relevant search results.
Content scraping: Exa can scrape complete, cleaned content from any webpage, providing high-quality data for AI.
Similarity search: Finds similar results through URL or long text, making searches more accurate.
Massive data processing: Capable of handling up to 1 million search results, meeting the needs of AI's large-scale data processing.
Real-time updates: Crawls new URLs every minute, ensuring AI always gets the latest data.
Powerful filtering capabilities: Allows searches by domain, date range, or data category, offering a highly customized search experience.
Simple API integration: Exa provides an easy-to-use API, allowing developers to integrate and use Exa's search functionality with just a few lines of code.
Exa's Technical Advantages:
Web-level neural search engine: Exa is the first to use end-to-end Transformer technology for filtering, screening by meaning rather than keywords.
Model training: Exa's training dataset includes shared links from web pages, not just text and sentences, enabling its search engine to better understand and predict the relevance of web links.
Official website: https://top.aibase.com/tool/exa
