ChatGPT: query Elasticsearch using natural language in PHP
summary
An experimental PHP library translates natural-language sentences into elasticsearch DSL by sending a mapping-based prompt plus the index mapping to OpenAI GPT, returning compressed JSON queries and executing them against Elasticsearch; it caches translations with md5-file caching to avoid repeat API calls, recommends temperature=0 for deterministic outputs, demonstrably produces runnable queries from examples but warns of hallucinations and is not safe for unreviewed production use.
AI-written summary · about
chapters (24)
- 0:00Introduction
- 1:04What is ChatGPT
- 2:10Prompts and limitations
- 3:36GPT-4 overview
- 4:21Live demo
- 6:35Code generation risks
- 7:38Elasticsearch DSL intro
- 9:03Natural language to queries
- 10:55ChatGPT with Elasticsearch mapping
- 13:05Prompt design
- 14:11Prompt as new code
- 15:15Project architecture
- 15:58Caching for performance
- 17:05Exploring repository
- 18:12PHP library setup
- 20:00Stock market example
- 21:52Translation performance
- 22:16ChatGPT limitations
- 22:59Developer course
- 23:42Q&A
- 24:05Privacy with prompts
- 25:27Stable prompt responses
- 26:50Validating responses
- 30:26Safe use cases
related talks
01h 16mChatGPT - and How we Can Benefit from it
25mChatGPT Unleashed: From Code Wizards To Silly Shenanigans!
16mChatGeoPT: Exploring the future of talking to our maps
36mChatGPT with Laravel & beyond
41mConnect GPT with your data: Retrieval-augmented Generation
24mLLMs: Powering Lightning Fast Product Innovation
45mHow to use GPT in your projects: A Case Study
35mChatGPT is lying, how can we fix it?
