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SQLLM
MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables …
SoTA LLM for converting natural language questions to SQL queries
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.
Using LangChain's SQL Database Chain and Agent with various LLMs to perform Natural Language Queries (NLQ) of an Amazon RDS for PostgreSQL database.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
Chat to your database with AI. An experimental app to test the abilities of LLMs to query SQL databases using natural language.
Autogenerate SQL and visualization using AI
Flexible development framework for building streaming data applications in SQL with Kafka, Flink, Postgres, GraphQL, and more.
Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.
Flexible Agent Framework for building Chat Bots, AI agents, and LLM microservices on the JVM.
Build a Retrieval Augmented Generation solution using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
Build a recommender using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
Samples on how to use Azure SQL database with Azure OpenAI
Implement a RAG solution and call OpenAI right from Azure SQL DB to ask questions about your data
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Redis Vector Library (RedisVL) enables Redis as a real-time database for LLM applications, based on Predis PHP client
Redis Vector Library (RedisVL) interfaces with Redis' vector database for realtime semantic search, RAG, and recommendation systems.
This sample demonstrates how to use Document Intelligence's Layout model to convert a PDF document, such as invoices, into Markdown, then use GPT-3.5 Turbo to extract structured JSON data using the…
SQL databases in Python, designed for simplicity, compatibility, and robustness.
A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.
An efficient storage and compute engine for both on-prem and cloud-native data analytics.
MySQL plugin for storing and querying vector embeddings.
Python tool to turn SQL Database Schemas into ChatGPT Prompts