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How to effectively evaluate your RAG + LLM applications

Hey there! Ever wondered how some of today's applications seem almost magically smart? A big part of that magic comes from something called RAG and LLM. Think of RAG (Retrieval-Augmented Generation) as the brainy bookworm of the AI world. It digs through tons of information to find exactly

Build your own RAG and run it locally: Langchain + Ollama + Streamlit

With the rise of Large Language Models and its impressive capabilities, many fancy applications are being built on top of giant LLM providers like OpenAI and Anthropic. The myth behind such applications is the RAG framework, which has been thoroughly explained in the following articles: Building RAG-based LLM Applications for

Relational Database

The history of relational databases stretches back to the 1970s, marking them as a time-tested method for structuring and accessing data. In the digital era, data is the lifeblood of companies, and efficient data storage becomes crucial as the amount of data skyrockets. Today, we will talk about foundational concepts

System Availability

In the world of system design, one of the most critical attributes that most architects aim to achieve is availability. Availability refers to the ability of a system to remain operational and accessible to users even in the face of various failures, disruptions, and maintenance activities. Ensuring high availability is

OpenAI DevDay: Opening keynote takeaways

Source: https://www.youtube.com/watch?v=U9mJuUkhUzk ChatGPT: * Now you can custom your own ChatGPT by GPT Builder with prompt, instruction, profile avatar, conversation-starting, and inductive knowledge. * You can share your customized chatbot on the GPT store, and earn money when people use it. * ChatGPT now chooses the response

System Scalability

In the ever-evolving world of technology, system architects are continually challenged with designing systems that can handle increasing workloads and traffic while maintaining optimal performance and reliability. Generally, the most optimistic scenario we can have is linear scalability. For example, if we're to double the amount of resources,

System Performance

Building a system that can handle large amounts of traffic and respond in a responsible time is the eventual goal of any system design problem. Before digging into the trick and specific design pattern, let's talk about what is the performance issue for a system first. Response Time

LensQuery's Announcement: A Model-agnostic AI Chat Application

Hello mate, Today, I am thrilled to introduce my very first solo project - LensQuery. After a month of tireless work and dedication, it's finally here! While LensQuery is not the next big thing, its core mission is to democratize AI accessibility. LensQuery is a simple mobile application

ML101.09: Kernel Methods & Support Vector Machine

Kernel methods là một nhóm kỹ thuật trong học máy, được sử dụng để giải quyết các bài toán phân loại, hồi quy và phân cụm. Chúng được phát triển dựa trên ý tưởng biến đổi dữ liệu từ không gian đầu vào ban đầu sang một không gian đặc

ML101.08: Clustering

Trong bài viết này, chúng ta sẽ tìm hiểu về khái niệm clustering. Đây là một lớp các thuật toán phân cụm trong học máy. Phân cụm hay gom cụm, phân nhóm được dùng rất nhiều trong quá trình phân tích và tìm hiểu về dữ liệu. Phân cụm giúp