Azure AI: Using Microsoft Azure AI to Query Large JSON files to Retrieve Data
Artificial Intelligence (AI) is very important feature that every software application needs to provide an interactive interaction to the end-users. Nowadays, most of the software applications rely on the AI capabilities to provide conversational features to end-users, where these end-users ask questions to the applications and application generates accurate results based on the questions asked. In such cases, software applications need to have data that is arranged in the form of Tables, Documents, JSON files, etc. If we have data on PDF documents form, then we can use Vector embeddings to query to documents. Similarly, in case of JSON files, the chunking is required to query the JSON documents. I have already published articles on RAG Applications on PDF documents and on SQL Database on following links: Azure AI Building RAG Application Solution: Using Azure Open AI to generate embedding on PDF documents and executing vector quires for RAG Applicaiton Azure AI Building RAG Applicatio...