Early Fall in Canada: A Journey Through Code and Knowledge š
Introduction
Hello, everyone! I'm Nonthachai Plodthong, a software developer and a senior student currently completing my studies. As we transition into the crisp, colorful season of early fall here in Canada, I'm excited to start a new series of blog posts where I share the knowledge and experiences I've gathered throughout my journey in tech and All this post is related to the Course that I take on Seneca calls Open Source Development Course.
The open source project is interesting on itself that we can join the other ppl project that already init or released we can improve it or make it better by go through the problem on the github repo and pull request whether our suggestion will be accepted or not.
Over the next four months, leading up to the end of this year, I'll be diving deep into various topics for the open source project that I could find to make contribute that span across GitHub.
This project serves as a functional RAG UI for both end users who want to do QA on their
documents and developers who want to build their own RAG pipeline.
For end users
A clean & minimalistic UI for RAG-based QA.
Supports LLM API providers (OpenAI, AzureOpenAI, Cohere, etc) and local LLMs
(via ollama and llama-cpp-python).
Easy installation scripts.
For developers:
A framework for building your own RAG-based document QA pipeline.
Customize and see your RAG pipeline in action with the provided UI (built with Gradio).
+----------------------------------------------------------------------------+| End users: Those who use apps built with `kotaemon`. || (You use an app like the one in the demo above) || +----------------------------------------------------------------+
This RAG and chat with own document very good and visualizing for see how embedding and vectorizing in our own document to LLM model and how embedding model pickup the similarity between input and unstructure data that convert into decimal number.
What topic I will be interesting?
1. AI Development
AI has revolutionized the way we interact with technology and has opened up new frontiers for developers and researchers. In this series, I'll explore:
Large Language Models (LLMs):
Discover the inner workings of LLMs, their capabilities, and how they can be used to solve real-world problems, including their applications in understanding speech in one language and responding in another.
Sentiment Analysis:
Learn how to build systems that understand the emotional tone behind a piece of text, from simple rule-based methods to advanced deep-learning techniques.
LangChain Library (Python):
LangChain is a powerful framework designed to help developers build applications that leverage Large Language Models (LLMs). Whether you're creating chatbots, question-answering systems, or tools for generating and manipulating text, LangChain simplifies the integration process by providing modular components and utilities. And I will focusing more on Advance RAG and Streaming.
2. Web Development
Web development is more than just building websites; it's about creating dynamic, secure, and scalable applications. I'll share insights on:
Django Rest Framework (DRF):
Tips and tricks to build robust APIs with Django and DRF, including handling serialization, viewsets, and permissions.
Next.js Framework:
A look into the popular React-based framework for building fast and scalable front-end applications. From static site generation (SSG) to server-side rendering (SSR), we'll cover it all.
ShadCN Library:
Explore this powerful library for creating elegant and accessible UI components, and learn how to integrate it with your React projects.
Authentication:
Secure your applications by implementing modern authentication methods, including JWT, O2Auth, and SSO.
Security Ops in Development:
Understand the importance of DevSecOps and how to integrate security practices seamlessly into your development pipeline.
3. Geographical Visualization
Bringing data to life visually is an art form that combines coding with creativity. I'll walk you through:
OpenLayers Library:
A powerful JavaScript library for mapping and geographical visualization. Learn how to build interactive maps that display real-time data, satellite imagery, and more.
Folium:
A Python library for interactive maps, perfect for visualizing geospatial data in Jupyter Notebooks or web applications.
4. Later in the next posts
I'm looking forward to sharing what I've learned and hope my knowledges will help all programmer across the globe.
fadingNA
