Vectorize is an AI tool designed to turn unstructured data into optimally structured vector search indexes. This technology is built for Retrieval Augmented Generation, meaning it operates on the principle of retrieving and utilising relevant information to improve AI task performance.
Vectorize can be used in a variety of applications such as question answering systems, AI copilots, call center automation, content automation, and hyper-personalization. The tool involves a three-step process comprising import, experiment, and deploy. During the import phase, users can upload documents or link to external knowledge management systems from which Vectorize extract natural language for AI use.
More details about Vectorize
How does Vectorize interact with my chosen vector database?
Vectorize interacts with user-selected vector databases by turning their data into AI-ready vectors that can be stored into the database. It also offers automatic creation and updates of vector indexes in the chosen vector database, ensuring the vectors stay up-to-date with changes in data.
What are the steps involved in using Vectorize?
Using Vectorize involves three steps: import, experiment, and deploy. In the import phase, users upload documents or link to external knowledge management systems, allowing Vectorize to extract the natural language necessary for AI usage.
How does Vectorize contribute to my AI task performance?
Vectorize enhances AI task performance by retrieving and using relevant information from unstructured data. By converting this data into structured vector search indexes, it helps AI systems better understand and respond to data, thus enhancing their performance in various tasks like question answering, hyper-personalization, and content automation.
Why do vector configurations need to be automatically updated?
Vector configurations need to be automatically updated to ensure the accuracy of search results. When changes occur in the data, for instance, an update in information or addition of new data, the vector configuration updates to reflect these changes in the AI’s responses.
