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
Data is key. Before we can operate on our data with LLM, we first need to process and load the data. This is similar to ETL (Extract, Transform, Load) in machine learning engineering. In LlamaIndex, the data ingestion pipeline typically consists of three main stages: Loading Data Transforming Data Indexing and Storing Data We will … Read more
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
In the previous article, we learned how to use LlamaIndex to build a basic document Q&A system. Today, we will take it a step further and explore how to build a more intelligent dialogue system. The Chat Engine of LlamaIndex offers various dialogue modes that enable a more natural and coherent conversation experience. 1. Introduction … Read more
01 Introduction What is RAG LLMs can produce misleading “hallucinations”, depend on information that may be outdated, and are inefficient when handling specific knowledge, lacking deep insights in specialized fields, while also having some deficiencies in reasoning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
In the world of artificial intelligence and machine learning, intelligent query systems have become an indispensable part. Whether in search engines, recommendation systems, or customer service chatbots, we need a system that can intelligently understand and process user queries. LlamaIndex (formerly known as GPT Index) is a powerful Python library specifically designed to help developers … Read more
After a year of development, domestic AI has gradually matured. Today, let’s look at how people can combine the domestic star product Zhipu AI with the LlamaIndex data framework to handle daily tasks. Domestic AI Products As we all know, the AI and large model field has been extremely hot this past year. In August, … Read more
What Is LlamaIndex? LlamaIndex is a data framework designed to enable LLM-based applications to ingest, structure, and access private or domain-specific data. It offers both Python and TypeScript versions. https://docs.llamaindex.ai/en/stable/index.html LLMs provide a natural language interface between humans and data. The widely available models are pre-trained on a large amount of publicly available data, such … Read more
The explosive popularity of ChatGPT proves the capabilities of large language models (LLMs) in generating knowledge and reasoning. However, ChatGPT is a model pre-trained on public datasets, which may not provide specific answers or results related to user businesses. So, how can we maximize the capabilities of LLMs using private data? LlamaIndex can solve this … Read more
Welcome to LlamaIndex 🦙 LlamaIndex (formerly GPT Index) is a data framework for ingesting, structuring, and accessing private or domain-specific data for LLM applications. 🚀 Why Choose LlamaIndex?[1] At their core, LLMs provide a natural language interface between humans and inferred data. The widely available models are pre-trained on a large amount of publicly available … Read more