📅 2024-09-16 — Session: AI-Driven NoSQL Schema Mapping and Setup
🕒 16:55–17:25
🏷️ Labels: AI, Nosql, Openai, Schema Mapping, Entity Extraction
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to explore and establish a workflow for mapping entities from natural language texts into NoSQL schemas using AI agents.
Key Activities
- Mapping Entities with AI Agents: Discussed strategies for utilizing AI agents within a NoSQL schema to map extracted entities from resolution texts.
- Dynamic Workflow Development: Outlined a refined workflow for dynamically mapping extracted information from government resolution texts to a predefined NoSQL schema.
- Text-to-SQL Evaluation: Analyzed the differences between Text-to-SQL tasks and the current goal of mapping legal texts into NoSQL schemas.
- OpenAI Tools Utilization: Detailed the process of using OpenAI’s tools, particularly GPT-4, for extracting entities and converting them into NoSQL schemas.
- Guide for AI Schema Generation: Provided a structured guide for generating accurate NoSQL schemas using OpenAI Functions and fine-tuning techniques.
- Questions and Considerations: Raised specific questions about OpenAI Functions and JSON schema definition, focusing on error handling and API limitations.
- Project Setup with Bash Commands: Offered a set of Bash commands for project setup, including preparing datasets and implementing OpenAI Functions.
Achievements
- Established a comprehensive workflow for AI-driven NoSQL schema mapping.
- Clarified the use of OpenAI tools and functions for schema generation.
- Developed a project setup guide using Bash for efficient implementation.