Today, I’m excited to introduce you to a super cool Python library—agi-pack. This library is powerful and can help us easily tackle many complex tasks, like a “superhero” in the Python world, making programming simple and fun. Next, let’s dive into the world of agi-pack and embark on a wonderful programming journey! 1. Getting to … Read more
↓Recommended Follow↓ Transformers have fundamentally changed deep learning models since their introduction. Today, we will unveil the core concepts behind Transformers: the attention mechanism, encoder-decoder architecture, multi-head attention, and more. Through Python code snippets, you’ll gain a deeper understanding of its principles. 1. Understanding the Attention Mechanism The attention mechanism is a fascinating concept in … Read more
Overview The Condense Question mode is a simple chat mode built on top of a data query engine. It provides a flexible chat engine by compressing the conversation context and latest message into standalone questions, which are then interacted with the query engine. For each chat interaction: 1. First, generate a standalone question based on … Read more
Recently, LlamaIndex launched a new feature called Workflow in its latest version. This feature helps large language model (LLM) applications achieve event-driven architecture, making the code logic clearer and more independent. This article will take you through a simple practical project to deeply understand this new feature, highlighting its advantages and shortcomings. Without further ado, … Read more
Original Title: Easily Build a Knowledge Base with LangChain, LlamaIndex, and OpenAI In today’s information age, effectively managing and utilizing vast amounts of data has become a key issue. For Python developers, building an intelligent knowledge base system can not only improve work efficiency but also provide strong support for decision-making. Today, I will teach … Read more
Are you still troubled by the uneven quality and poor performance of AI in China? Then let’s take a look at Dev Cat AI (3in1). This is an integrated AI assistant that combines GPT-4, Claude3, and Gemini. It covers all models of the three AI tools. Including GPT-4o and Gemini flash You can own them … Read more
In today’s AI era, how to enable AI models to understand and answer questions based on specific documents has become a hot topic. LlamaIndex, as a powerful data framework, can help us easily build document Q&A systems based on large language models. This article will guide you to set up a simple yet fully functional … Read more
Explanation Querying is the most important part of LLM applications. In LlamaIndex, once you have completed: data loading, building the index, and storing the index, you can proceed to the most crucial part of LLM applications: querying. A simple query is just a prompt call to the large language model: it can be a question … Read more
Originally from Akash Mathur’s Blog Abstract: In the field of information retrieval, Retrieval-Augmented Generation (RAG) models signify a paradigm shift, empowering large language models (LLMs) to generate responses that are rich in context and accurate. However, unlocking the full potential of RAG often transcends the limitations of its default query-retrieve-generate framework. This article delves into … Read more
In previous articles, we explored document question answering, dialogue systems, RAG pipelines, and system monitoring. Today, we will delve into how to build AI agents using LlamaIndex, particularly focusing on the ReAct (Reasoning and Acting) model, which enables AI to reason and perform specific actions. 1. Introduction to ReAct Model ReAct is an AI model … Read more