This specification defines the HTTP QUERY method, providing a safe and idempotent way to perform complex server-side queries using request bodies rather than URI parameters. It fills the gap between GET and POST by allowing large or sensitive query data while remaining cacheable and suitable for automatic retries.
Main topics include:
* Safe and idempotent semantics similar to GET but with body support.
* Mechanisms for assigning URIs to query results via Location and Content-Location headers.
* Introduction of the Accept-Query header field for media type negotiation.
* Guidance on caching strategies involving request content in cache keys.
Main topics include:
* Safe and idempotent semantics similar to GET but with body support.
* Mechanisms for assigning URIs to query results via Location and Content-Location headers.
* Introduction of the Accept-Query header field for media type negotiation.
* Guidance on caching strategies involving request content in cache keys.
Breser stands for Business Rules & Expression Syntax for Easy Retrieval. It is a powerful and flexible query language designed for efficient log processing and structured data filtering.
A prototype tool powered by Large Language Models to make querying your databases as easy as saying the word.
- Introduction to QueryGPT, a tool using Large Language Models (LLMs) for natural language database queries
- Focus on implementing a basic iteration of the system, with potential for significant enhancements
- Aim is to provide the LLM with the database schema and have it answer questions based on that context
- Discussion on prompt engineering, which is designing inputs for generative AI tools to produce optimal results
- Introduction to QueryGPT, a tool using Large Language Models (LLMs) for natural language database queries
- Focus on implementing a basic iteration of the system, with potential for significant enhancements
- Aim is to provide the LLM with the database schema and have it answer questions based on that context
- Discussion on prompt engineering, which is designing inputs for generative AI tools to produce optimal results
