Code & Development · GitHub ·16 ★

SQL-Agents-Using-RAG-DSPy-Groq

Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs

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Details

Author
sachink1729
Category
Code & Development
Platform
GitHub
Framework
dspy
Language
jupyter notebook
Stars
16
First indexed
2026-05-15
Last active
2024-08-23
Directory sync
2026-05-15
@sachink1729

Overview

Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs

Quick start

git

git clone https://github.com/sachink1729/SQL-Agents-Using-RAG-DSPy-Groq

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What SQL-Agents-Using-RAG-DSPy-Groq can do

promptsqldataragllm
  • Prompt — prompt task automation.
  • Sql — sql task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.

Frequently asked questions

What is SQL-Agents-Using-RAG-DSPy-Groq?
Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs
How do I install SQL-Agents-Using-RAG-DSPy-Groq?
Use git: `git clone https://github.com/sachink1729/SQL-Agents-Using-RAG-DSPy-Groq`. Full setup details on the source page linked above.
Is SQL-Agents-Using-RAG-DSPy-Groq open source?
SQL-Agents-Using-RAG-DSPy-Groq is published on GitHub.
What are alternatives to SQL-Agents-Using-RAG-DSPy-Groq?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for SQL-Agents-Using-RAG-DSPy-Groq is sourced from GitHub, published by sachink1729.

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