Textify is a powerful tool that extracts values from unstructured documents into the desired data format. This tool utilizes RAG LLM (Retrieval-Augmented Generation Large Language Model) based technology to automatically extract important information from documents, allowing users to request customized information as needed.
Retrieval-Augmented Generation refers to a language model that combines information retrieval with generation. This model enhances traditional generation models by incorporating an information retrieval mechanism, thus creating richer contexts. This means that when generating sentences, the model can search for and utilize external data or knowledge. Through this approach, the model can generate more accurate and useful sentences.
For example, consider the process of generating an answer to the query, "What is the highest mountain in the world?" A typical generation model might not know the exact answer to this question when generating a sentence. However, a RAG model would first retrieve information related to this question from an external database or knowledge graph and then generate an answer based on this information. With such a model, it is possible to generate responses that accurately include the information relevant to the user's question