DeepQuery

At IESE Business School, my extensive research demands, stemming from my master's thesis and extending into my professional tasks, led me to develop DeepQuery. This tool optimizes the extraction and retrieval of information from web content, particularly addressing areas not covered by ChatGPT's initial training.

DeepQuery tackles the challenge of large text volumes by using a "RecursiveCharacterTextSplitter" to manage and overlap text chunks, maintaining context continuity. The text is processed using OpenAI embeddings, and the data vectors are stored in a FAISS vector database for efficient future access. Ultimately, DeepQuery delivers precise answers from the indexed content, greatly reducing research time and improving data accuracy.