Llm sql agent github. The language model used is OpenAIs GPT-4o mini.

Llm sql agent github. This system is designed to translate natural language queries into SQL commands, enabling seamless interaction with a MySQL database. 5, the LangChain framework, and an Agentic RAG (Retrieval-Augmented Generation) pipeline to transform the way we interact with databases. ai/oss agent bigquery charts sql postgresql bedrock business-intelligence openai spreadsheets vertex genbi text-to-sql rag text2sql duckdb llm anthropic sqlai text-to-chart Readme AGPL-3. The language model used is OpenAIs GPT-4o mini. The text This project is a chatbot application designed to provide automated responses to user queries using a LLM model, streamlit and langchain. mp4 Apr 26, 2025 · LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. . Overview SQL-LLM-Agent is a cutting-edge project that leverages OpenAI's GPT-3. 0 license Code of conduct This repository contains all the relevant codes for building a RAG enhanced LLM for Text-to-SQL, evaluation data and also instructions on how to evaluate the performance by test-suite-sql-eval through Docker and customize your Text-to-SQL evaluation pipeline based on own data by Langsmith. A more academic definition is to convert natural language problems in the database field into structured query languages that can be executed in relational databases. Feb 22, 2025 · This input is passed to the query_gen node, where the LLM, with the help of the provided database schema (tables, columns, and their relationships), converts the user's question into an SQL query. OpenAI GPT-4o-mini Integration: Uses OpenAI’s LLM for intelligent data processing. action. Built with LangGraph, LangChain, and Streamlit, the system allows users to chat with any SQL database, providing intuitive query generation and database exploration capabilities getwren. - cgaravitoc/llm_sql_agent A comprehensive guide and implementation of architectural patterns that utilize Large Language Models (LLMs) for the efficient generation of SQL from natural language text. llm-analyst. GitHub Gist: instantly share code, notes, and snippets. With this app, you can interact with a natural language interface to generate SQL queries, making it easier for both beginners and experienced SQL users to work with databases. It integrates with multiple LLM providers (Groq, Google Gemini, OpenAI, DeepSeek) to convert natural language queries into SQL, and includes a robust test suite to ensure reliability. Nov 14, 2023 · LangChain SQL - Agent Setup. The world is your oyster! I wrote a guide about how it works on my company blog. SoTA LLM for converting natural language questions to SQL queries - defog-ai/sqlcoder Jun 23, 2023 · SQLAgent 是一个 开源的（Open source）、大模型驱动的（LLM-Powered）、专注于私有化部署的Text2SQL 智能体（Agent） 项目（Project），我们的目标是提供产品级的Text2SQL解决方案，致力于解决Text2SQL在实际应用中遇到的各种问题如模型私有化部署、面向Text2SQL任务的RAG最佳方案等等。为此，我们将持续探索什么 Text-to-SQL (or Text2SQL), as the name implies, is to convert text into SQL. For comprehensive details on the architectural patterns mentioned below, please refer to the accompanying article on Medium Welcome to the AI SQL Brain App repository! This project leverages the power of OpenAI's Language Model Agents to create an intelligent SQL query assistant. The SQL Agent is a conversational AI tool designed to interpret natural language requests and automatically generate SQL queries against a target database. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. Friendly LLM agent that dashboards like an analyst This works on any SQL database! You might need to play with the prompts in the chains folder to get it working best for your use case. Therefore, Text-to-SQL can also be abbreviated as Example application for the construction and inference of an LLM-based LangChain SQL Agent that can dynamically query a database and invoke multiple visualization tools. LangChain Tools: Provides tools for listing tables, fetching schemas, and executing SQL queries. - GitHub - jayzerky/sql-agent: The SQL A SQL Database Setup: Converts an Excel/CSV file into an SQLite database. This project demonstrates a simple yet powerful way to interact with SQL databases through a conversational interface. Self-correcting Text-to-SQL Master your knowledge base with agentic RAG Orchestrate a multi-agent system Build a web browser agent using vision models Using different models Human-in-the-Loop: Customize agent plan interactively Async Applications with Agents The llm_engine is the LLM that powers the agent system. CrewAI Agents & Tasks: Automates SQL querying, data analysis, and report writing using AI agents. in. InferenceClientModel allows you to call LLMs using Hugging Face's Inference API, either via Serverless or Dedicated endpoint, but you could also use any proprietary API: check out this other cookbook to learn how to adapt it. For this, four datasets from the European Statistical Office (Eurostat) are loaded The SQL Agent Tool is a Python-based utility designed to interact with PostgreSQL databases, allowing users to execute SQL queries safely and efficiently. Aug 21, 2023 · A step-by-step guide to building a LangChain enabled SQL database question answering agent. ekpmnp hhneh fvwnkvbn khz uzssj eknih pdiv uay zigdxsq xfvv