The editor of Downcodes learned that Writer, the leading enterprise AI platform, has released a series of major updates aimed at completely revolutionizing its AI chat application. These upgrades cover many aspects such as graph-based retrieval augmented generation (RAG) technology, enhanced AI transparency tools, etc., and will be gradually launched in the Writer ecosystem starting tomorrow. This update not only improves the search accuracy and data processing capabilities of AI, but also focuses on improving the user experience and transparency of AI decision-making, setting a new benchmark for enterprise-level AI applications.
Leading enterprise AI platform Writer has announced a series of powerful updates designed to revolutionize its AI chat application. These comprehensively upgraded features, including advanced graph-based search-augmented generation (RAG) technology and enhanced AI transparency tools, will be gradually rolled out across the Writer ecosystem starting tomorrow.
One of the most eye-catching upgrades is Writer's graphical RAG system, which enables more intelligent and accurate information retrieval by building semantic relationship diagrams between data points instead of simple vector retrieval. According to Deanna Dong, head of product marketing at Writer, in an interview with VentureBeat: "We break the data into smaller data points and establish semantic relationships between these data points. This approach not only improves the accuracy of information retrieval, but also Enhanced data relevance.”
Additionally, Writer’s AI platform is now capable of processing and analyzing up to 10 million words of company-specific information, enabling businesses to leverage their own data at an unprecedented scale when interacting with AI systems. This feature is particularly important for companies that need to process large files, research papers or documents, and can significantly improve their data analysis and decision support capabilities.
The newly introduced "thought process" feature brings a breakthrough improvement in the transparency of AI decision-making. Users can see the specific steps of AI-generated responses, including how the query is split into sub-questions and which specific data sources are referenced. Writer CEO May Habib emphasized the importance of these innovations: "RAG technologies are not simple, and they are very important for CIOs, AI VPs who care about accuracy. In a recent benchmark test of eight different RAG methods , including Writer’s Knowledge Graph, which we ranked first for accuracy.”
In addition, Writer has also launched specialized "modes" that provide specialized interfaces for different types of tasks, such as general knowledge query, document analysis, and knowledge graph operations. These modes are designed to simplify the user experience, improve output quality by providing more targeted prompts and workflows.
Analysts generally believe that these Writer innovations may have a profound impact on enterprise AI adoption. Through the combination of huge data ingestion, sophisticated RAG technology and explainable AI, Writer provides a solution to many enterprises' long-standing hesitation to popularize LLM (large language model) tools.
The coming months will reveal whether this new feature can deliver on its promise to close the gap between AI's potential and actual enterprise deployments.
Highlight:
⭐️ Writer launches advanced graphic retrieval enhanced generation (RAG) technology to significantly improve performance.
⭐️ The new version of the AI platform supports the analysis of up to 10 million words of data, significantly expanding enterprise data processing capabilities.
⭐️ Introducing the AI "thinking process" function to make the AI decision-making process more transparent and explainable.
This update of Writer is undoubtedly a major advancement in the field of enterprise-level AI. Its innovative application of RAG technology and its emphasis on AI transparency will promote the widespread application of enterprise AI, and it is worth looking forward to its future development.