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In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.
MS SQL Server. As a relational database management system, this server uses the Transact-SQL query language and is good for large databases. If you’re looking for a database server, you’ll need something built for the job. There are several different options, and they all fulfill different jobs based on their unique schema.
Solution overview The following figure illustrates our systemarchitecture for CreditAI on AWS, with two key paths: the document ingestion and content extraction workflow, and the Q&A workflow for live user query response. In the following sections, we dive into crucial details within key components in our solution.
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Excel, SQL), and attention to detail Gain practical experience through internships, online courses, and work on real-world projects. Data Architect Designs and creates data systems and structures for optimal organisation and retrieval of information. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g.,
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