How to Build Agentic RAG with Claude 3.5, LlamaIndex, and Milvus

How to Build Agentic RAG with Claude 3.5, LlamaIndex, and Milvus

In the past three years, the emergence of foundational models represented by OpenAI’s ChatGPT has significantly accelerated the development of LLM applications. However, relying solely on LLMs to answer questions based on their “inherent” knowledge often leads to issues such as hallucinations or outdated knowledge. Against this backdrop, the idea of using multiple LLMs, each … Read more

Key Differences Between LlamaIndex and LangChain

Key Differences Between LlamaIndex and LangChain

LLM has become an indispensable productivity tool across various industries, such as text generation, language translation, and knowledge Q&A. Sometimes, the responses from LLMs can be surprising, as they are quicker and more accurate than humans. This demonstrates their significant impact on today’s technological landscape. As we delve deeper into the field of artificial intelligence, … Read more

LlamaIndex: A Revolution in Large Language Model Data Indexing (Part 1)

LlamaIndex: A Revolution in Large Language Model Data Indexing (Part 1)

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

LLMLingua: Integrating LlamaIndex for Efficient Inference

LLMLingua: Integrating LlamaIndex for Efficient Inference

Source: DeepHub IMBA This article is about 2500 words long and is recommended to be read in 5 minutes. This article will introduce the integration of LLMLingua with the proprietary LlamaIndex for efficient inference. The emergence of large language models (llm) has spurred innovation across multiple fields. However, with strategies driven by chain of thought … Read more

LlamaIndex Surpasses RAG for Complex Decision Making

LlamaIndex Surpasses RAG for Complex Decision Making

The popular AI orchestration frameworkLlamaIndex has introduced the Agent Document Workflow (ADW), a new architecture that the company claims surpasses the Retrieval-Augmented Generation (RAG) process and enhances the efficiency of agents. As orchestration frameworks continue to improve, this approach provides organizations with options to enhance agent decision-making capabilities. LlamaIndex states that ADW can assist agents … Read more

LlamaIndex and Observability: Implementing System Monitoring with Phoenix

LlamaIndex and Observability: Implementing System Monitoring with Phoenix

When building AI applications, understanding the system’s operational status, performance bottlenecks, and potential issues is crucial. This article will introduce how to add observability to LlamaIndex applications using Phoenix, helping you better monitor and optimize your system. What Is Observability? Observability refers to the ability to understand the internal state of a system from its … Read more

Building AI Agents with LlamaIndex: ReAct Model Practice

Building AI Agents with LlamaIndex: ReAct Model Practice

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

LlamaIndex: Easily Build Indexes to Query Local Documents

LlamaIndex: Easily Build Indexes to Query Local Documents

Click the blue text above to follow us. 1. Introduction 1.1 Background When using OpenAI’s GPT series models, we might find that for some simple questions, such as factual questions in Chinese, the AI tends to fabricate answers. And when asked about recent news events, the AI will directly state that it does not know … Read more

Building a Q&A Bot with Local Knowledge Base Using LlamaIndex and Qwen1.5

Building a Q&A Bot with Local Knowledge Base Using LlamaIndex and Qwen1.5

01 Introduction What is RAG LLMs can produce misleading “hallucinations”, depend on information that may be outdated, and are inefficient when handling specific knowledge, lacking deep insights in specialized fields, while also having some deficiencies in reasoning capabilities. It is against this backdrop that Retrieval-Augmented Generation (RAG) technology has emerged, becoming a significant trend in … Read more

Advanced LlamaIndex Documentation: Using LlamaParse for Complex PDFs

Advanced LlamaIndex Documentation: Using LlamaParse for Complex PDFs

In the previous article, we primarily used SimpleDirectoryReader to process documents. Today, we will explore how to use LlamaParse to handle more complex PDF documents, achieving more accurate document parsing and information extraction. 1. Introduction to LlamaParse LlamaParse is a tool specifically designed for handling complex documents, with the following features: Accurate layout recognition Table … Read more