Evidencebase.ai - October Product Update
We're pleased to present our Fall 2023 update on the advancements of evidencebase.ai. Here's a sneak peek of our pending feature release and what lies ahead.
Enhanced Source Details
A “source” button has been incorporated with each response, letting you instantly view the document(s) that underpins the provided information.
Interact with Individual Documents
Delve deeper by interacting with specific documents, accessible from the documents list page or directly from a question response.
Geolocation Insights
Leveraging natural language processing during the document indexing phase, we’re now able to discern and chart out geographical references within the documents, offering both holistic and document-centric maps.
Keyword Tags
Venturing into a more refined search experience, we are introducing Keyword Tags. By harnessing the power of natural language processing, our platform will automatically tag documents with relevant keywords, simplifying and enhancing your queries and document categorization. Our general models will add tags based on your content, but more refined approaches can be built for your organization.
Augmented Profile Insights
Dive into more comprehensive analytical insights about your organization, including usage trends and more.
Administrative Capabilities
We will soon enable organizations to manage accounts more efficiently with advanced admin controls, create organization personas, and more.
In the Ideation Pipeline
We’re constantly listening to feedback from users and thinking about what to build next. Here are some ideas we are exploring.
Online Events Integrations: We're exploring an innovative feature set tailored for online events. Imagine conversing directly with the substance of panel speakers through our platform or obtaining automated summaries of vibrant discussions in near real-time and much more. This aims to elevate the virtual event experience, making information retrieval and interaction more accessible and insightful.
In-depth Analysis Across All Documents: While large language models excel at distilling concise to moderate chunks of text, they face challenges in summarizing extensive content. We're brainstorming a "deep dive" function that allows comprehensive summarization across your complete repository. This concept is currently in its nascent stages of R&D.
Advanced Document Summaries: While conventional vector searches effectively pinpoint content-based answers, they fall short when asked about the latest documents or tallying documents on specific topics. To this end, we're exploring methodologies to fill this gap, with pilot features expected to launch within the next couple of months.
Your feedback is important to us. We're focused on collaborating with our partners to harness the potential of generative AI to its fullest. Please don’t hesitate to connect with our team for any insights or suggestions to further refine our platform.
