Ordertable Web Application Architecture

Ordertable Web Application Architecture 


Font End Architecture:



Server-Side Architecture:

MVC + Domain Driven Design







Comments

Post a Comment

Popular posts from this blog

state government roles website

South Australia (SA) https://iworkfor.sa.gov.au New South Wales (NSW): The I Work for NSW portal advertises job vacancies across various NSW government agencies. https://www.randstad.com.au/jobs/new-south-wales/ Victoria (VIC): The Careers.Vic website provides listings for positions within the Victorian Public Service. https://careers.vic.gov.au/ Queensland (QLD): The Smart Jobs and Careers platform showcases job opportunities in the Queensland Government. https://smartjobs.qld.gov.au/jobtools/jncustomsearch.jobsearch?in_organid=14904 Western Australia (WA): The WA Government Jobs Board features vacancies across Western Australian government departments. https://search.jobs.wa.gov.au/page.php?pageID=215 Tasmania (TAS): The Jobs Tasmania site lists employment opportunities within the Tasmanian State Service. https://www.jobs.tas.gov.au/ Australian Capital Territory (ACT): The Jobs ACT portal provides information on positions available in the ACT Government. https://www.jobs.act.gov.au/ ...
Read more

To enhance embedding in your Retrieval-Augmented Generation (RAG) application

 To enhance embedding in your Retrieval-Augmented Generation (RAG) application based on the "Python RAG Tutorial.txt" notes, follow these steps in simple English: 1. **Use High-Quality Embeddings**:    - Choose high-quality embeddings to ensure accurate matching between your queries and the relevant data chunks. Consider using services like OpenAI or AWS Bedrock, as they provide reliable embeddings. 2. **Consistent Embedding Function**:    - Use the same embedding function for both creating the database and querying it. This ensures consistency and better performance. 3. **Manage Large Documents**:    - Split large documents into smaller chunks. Use tools like Langchain's recursive text splitter. Smaller chunks improve indexing and retrieval accuracy. 4. **Update the Vector Database**:    - Add a unique ID to each data chunk. Use the file path, page number, and chunk number to create these IDs. This helps in updating the database without dupl...
Read more

SQL Tutorials 10 hours

Image
Certainly! Here's a tutorial in the form of a flash card table for MySQL SQL commands: SQL Command & Explanation SQL Example SELECT - Retrieves data from one or more tables. SELECT first_name, last_name FROM employees; FROM - Specifies the table to retrieve data from. SELECT first_name FROM employees; WHERE - Filters records based on a condition. SELECT * FROM employees WHERE age > 30; AND , OR - Combine conditions in a WHERE clause. SELECT * FROM employees WHERE age > 30 AND department = 'HR'; ORDER BY - Sorts the result set. SELECT * FROM employees ORDER BY last_name ASC; INSERT INTO - Adds new records into a table. INSERT INTO employees (first_name, last_name) VALUES ('John', 'Doe'); UPDATE - Modifies existing records in a table. UPDATE employees SET age = 31 WHERE first_name = 'John' AND last_name = 'Doe'; DELETE - Removes records from a table. DELETE FROM employees WHERE last_name = 'Doe'; CREATE DATABASE - Cre...
Read more