Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents.
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Updated
Aug 19, 2026 - Python
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents.
Open-source natural-language analytics platform that converts business questions into safe, explainable SQL.
ln2sql as a python package
Natural Language to SQL using Google's Gemini Pro Model
Finetuning Google's Gemma Model for Translating Natural Language into SQL
QueryWise: Natural-language SQL assistant with semantic context, glossary- aware query generation, and a React/FastAPI stack.
AI agent for answering SQL-based questions using LLaMA and FastAPI
Open-source semantic compiler for reliable natural-language analytics over Postgres.
SchemaMind turns plain-language questions into validated SQLite queries. Upload a .db, ask anything, and get back executable SQL plus the actual results — powered by FAISS schema retrieval, Gemini, and a strict safety layer.
A tool to query a database in natural language
An agentic chatbot to answer questions regarding a hotel's information and database.
An interactive DataOps assistant using an LLM-powered agent architecture to automate data profiling, cleaning, feature engineering, and natural language-based querying & visualization.
Hybrid Natural Language to SQL (NL2SQL) system using Machine Learning and Rule-Based NLP to convert plain English questions into SQL queries from CSV & Excel datasets. Built for EWU CSE366 AI Project.
Evaluation and observability for natural-language agents over dbt projects, with read-only SQL, execution-based evals, and evidence-backed answers.
LLM agent able to do database queries and mutations
An AI-powered SQL assistant that turns natural language into safe SQL, runs queries, and explains results in plain English.
SQL Natural Language Query Assistant is a powerful Streamlit application that lets you interact with tabular data using everyday language instead of complex SQL queries. This tool bridges the gap between data analysis and natural language processing, making data exploration accessible to everyone, regardless of their SQL expertise.
From-scratch AI agent for natural language SQL queries. MiniMax API + Python + SQLite.
A new package enables AI systems to securely interact with MySQL databases by translating natural language queries into structured SQL commands. It processes user text input to generate safe, validate
MCP-native autonomous data analyst. Natural language → validated SQL, with multi-turn conversation, statistical insight agent, proactive watchdog, dual-path verification, and a community registry of semantic models.
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