Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools
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Updated
Oct 5, 2024 - Python
Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools
Nexus SQL is an autonomous AI Data Analyst that lets you query databases in plain English. Built with LangChain and DeepSeek-V3, it automates complex SQL generation, provides instant data visualizations, and ensures enterprise security, reducing time-to-insight by 80%.
Self-learning data agent delivering insights, not SQL. 6 layers of context grounding, autonomous Learning Machine, ChatGPT-style UI with real-time pipeline visualization. Built with MCP, FastAPI, PostgreSQL+pgvector, and Google Gemini. Production-ready with OpenTelemetry traces, Prometheus metrics, and Docker deployment.
Execution-guided Retrieved-Schema Text-to-SQL post-training pipeline with SQLite feedback, Column-Minimal Repair, LoRA SFT/DPO, preference mining, pair-quality filtering, and clean-split Spider evaluation.
Agentic BI SaaS platform for natural language analytics using LangGraph, LangChain, LLMs (OpenAI, LLaMA, Mixtral), RAG with FAISS/Chroma, SQL & BI agents, MCP tools, and long-term AI memory (mem0). Built with FastAPI, Streamlit, Plotly, SQLAlchemy, PostgreSQL,Docker,Kubernetes,governance, lineage, RBAC,usage-based billing,SaaS & on-prem deployment.
SQL intelligence layer for LLM agents — phase-locked generation, property graph schema, 10 dialects, MCP server
Multi-Agent Tool to Diagnose Errors in Unified Diagnostic Service (UDS) Data with a Flask Front-End
An advanced AI-powered data analyst built with Python, Streamlit, and LangChain. Implements the ReAct (Reasoning + Acting) architecture to autonomously query SQL databases, analyze results, and provide context-aware business insights using Google Gemini. Features transparent thought process visualization and multi-language support.
Evidence-aware RAG + SQL agent for B2B revenue risk analysis, with tool traces, evals, and data-quality auditing.
Personal finance tracker with an SQL agent for gathering information.
Next-Gen SQL Agent powered by LangGraph & Gemini 2.5. Features cyclic reasoning steps, self-correction, and multilingual 'Glass Box' transparency for high-precision database analysis.
LangChain Agent with custom tools — multi-city clock, real-time exchange rate scraping, and read-only SQL toolkit demo. / 커스텀 Tool · 웹 스크래핑 · SQL Toolkit을 결합한 LangChain Agent 통합 파이프라인.
Enterprise-grade SQL Agent using PydanticAI and Azure OpenAI for secure natural language to SQL conversion with comprehensive safety validation
LangChain SQL BI Assistant for IMDB
Open-source conversational data analyst — talk to any database in plain Chinese/English. Custom ReAct agent, no LangChain. DuckDB, MySQL, Python, React. / 开源对话式数据分析工具,用自然语言查询任意数据库,自建 ReAct Agent,零 LangChain 依赖
A curated cookbook of production-ready AI agents built with LangChain and LangGraph. Features a Hierarchical Deep Agent with task tracking, a Dual-Approach RAG Agent, and a Self-Correcting Text-to-SQL Agent with automatic fallback routines.
A LangChain-powered SQL chatbot that lets you talk to your database using plain English. Supports SQLite (student.db) and full MySQL connections. Uses Groq’s ultra-fast Llama-3.1-8b-instant model with the LangChain SQL toolkit. Fully interactive Streamlit UI with message history + real-time query execution.
An autonomous analytics pipeline that answers natural language business questions > about India's internship market using a 4-agent LangGraph architecture.
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