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Articles tagged with #nl2sql
Introduction AI adoption has shifted significantly in recent years. Earlier, businesses focused on classical machine learning models for tasks like classification and Named Entity Recognition (NER). Now, almost every project we build at FutureSmart A...
Introduction In this blog post, we will walk you through the process of creating a custom AI agent with three powerful tools: Web Search, Retrieval-Augmented Generation (RAG), and Natural Language to SQL (NL2SQL), all integrated within the LangGraph ...
Introduction Welcome to our deep dive into revolutionizing the way we interact with databases using Natural Language Processing (NLP) and LangChain. In today's data-driven world, the ability to query databases without needing to know complex SQL synt...
Introduction Natural language querying allows users to interact with databases more intuitively and efficiently. By leveraging the power of LangChain, SQL Agents, and OpenAI's Large Language Models (LLMs) like ChatGPT, we can create applications that...
This blog will dive into using GPT-3 for Natural Language to SQL (NL2SQL) conversion. The article provides an overview of NL2SQL conversion and its challenges, an introduction to GPT-3 and its capabilities and limitations, and a step-by-step guide to...
