A simple Text-to-SQL flow using Ollama.
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Updated
Jun 28, 2024 - Python
A simple Text-to-SQL flow using Ollama.
Example usage of running ZeroLink base models on local hardware
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
A NLQ(Natural Language Query) demo using Amazon Bedrock, Amazon OpenSearch with RAG technique.
AI SQL Architect: Integrating Large Language Models and Vector Search
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition [NAACL 2024]
Efficient, consistent and secure library for querying structured data with natural language
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Interact with your SQL database, Natural Language to SQL using LLMs
EduBot is a powerful RAG (Retrieval-Augmented Generation) chatbot that utilizes the latest SOTA models to provide a seamless and interactive learning experience.
Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries!
Enhance SQL query generation using OCI Gen AI and Marqo. This project integrates with Oracle Autonomous Data Warehouse, leveraging DDL and comments for context-aware natural language queries, indexing and searching vectors, and executing optimized SQL commands.
ICDE 2024 Paper, MetaSQL: A Generate-then-Rank Framework for Natural Language to SQL Translation
Code and data for the paper "DBCᴏᴘɪʟᴏᴛ: Scaling Natural Language Querying to Massive Databases"
🤖 Chat with your large SQL database
NLP Project that explores a novel approach to generating SQL queries from natural language, aiming to improve response times by pre-processing potential queries.
Code for Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
Polish translation of spider dataset.
Python import scripts to retrieve postgres schema info and use an LLM to generate documentation. This can be useful for text-to-sql apps later on.
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