https://github.com/spyrosigma/groq-sql-agent

SQL-Agent-ChatBot : When user sends a query, the Agent tries to convert the query into SQL query based on the database Schema, and then retrieve the relevant information from the database and give back the relevant information in NLP.
https://github.com/spyrosigma/groq-sql-agent

agents groq matplotlib-pyplot python3 schema sql-agent supabase text-to-sql

Last synced: about 1 month ago
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SQL-Agent-ChatBot : When user sends a query, the Agent tries to convert the query into SQL query based on the database Schema, and then retrieve the relevant information from the database and give back the relevant information in NLP.

• Host: GitHub
• URL: https://github.com/spyrosigma/groq-sql-agent
• Owner: Spyrosigma
• Created: 2024-09-12T10:22:19.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-17T02:33:15.000Z (5 months ago)
• Last Synced: 2024-11-07T12:47:49.072Z (3 months ago)
• Topics: agents, groq, matplotlib-pyplot, python3, schema, sql-agent, supabase, text-to-sql
• Language: Python
• Homepage:
• Size: 76.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Groq-SQL-Agent

### Features:

1. Websockets-powered chatbots for real-time Communication.

2. Chatbots are equipped with Session memory (Until you refresh, the chatbot remembers the previous conversation)

3. GROQ-LLM used for Ultra-Fast responses.

4. Multiple users can use it simultaneously. (The concept of UUID and rooms is implemented)

5. LangChain is used for the efficient orchestration of functions.

### How to run locally ?

1. Clone the repo

  ```bash

  https://github.com/Spyrosigma/Groq-SQL-Agent.git

  ```

2. Install necessary modules

  ```bash

  pip install -r requirements.txt

  ```

3. Create a .env file and fill in the creds:

  - GROQ_API_KEY

  - Your Database URL and API key (You've to set it up)

4. There are 2 Agents, run them with these commands:

   - Satellite Image Agent

      ```bash

      python satellite.py

      ```

   - Housekeeping Satellite Agent

      ```bash

      python telementry.py  

      ```

5. Run the index.html file for Chatbot Interaction.