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 link: https://blog.llamaindex.ai/multimodal-rag-pipeline-with-llamaindex-and-neo4j-a2c542eb0206 Code link: https://github.com/tomasonjo/blogs/blob/master/llm/neo4j_llama_multimodal.ipynb Image by DALL·E The rapid development of artificial intelligence and large language models (LLMs) is astonishing. Just a year ago, no one was using large language models to enhance work efficiency. But now, many people find it hard to imagine working without the assistance of large language models or … 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
Retrieval-Augmented Generation (RAG) is a technology that combines retrieval and generation, effectively addressing some issues of large language models (LLMs), such as hallucinations and knowledge limitations. With the development of RAG technology, vector technologies involved in RAG have gained attention, and vector databases are gradually being understood by everyone. Some established database vendors have also … Read more
Introduction This article provides an overall introduction to the LlamaIndex framework, including its functions, components, and explanations. LlamaIndex is an open-source LLM application development framework built on large models (including Agents and Workflows) to create context-enhanced generative AI applications. Components of LlamaIndex The following diagram illustrates the overall functional structure of LlamaIndex, abstracted from the … Read more
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solely on LLMs to answer questions based on their “inherent” knowledge often leads to issues such as hallucinations or outdated knowledge.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
Introduction to LlamaIndex and LangChain, and a comparative analysis of the two. Long press to follow “AI Technology Talks” This article introduces the core mechanisms of LlamaIndex and compares its main differences with the LangChain framework. It will demonstrate how to integrate these frameworks into end-to-end projects to fully leverage the potential of large language … 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
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
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