Click the blue text above to follow us 1. Introduction Today we will delve into the process of creating a document-based Q&A system using LangChain and Pinecone, leveraging the latest large language models (LLMs) such as OpenAI’s GPT-4 and ChatGPT. LangChain is a powerful framework designed for developing applications driven by language models, while Pinecone … Read more
Building an AI Memory System with LangChain and Pinecone from Scratch Recently, have you been overwhelmed by various AI applications? With the emergence of ChatGPT, Wenxin Yiyan, and more, it can be dazzling. However, did you know that these AI applications all share a common point – they utilize a magical framework called LangChain. Today, … Read more
To avoid losing contact, please also follow the backup account. Large language models are machine learning models capable of generating natural language text based on context. In recent years, with the development of deep learning and big data, the performance and capabilities of language models have significantly improved, leading to the emergence of many applications … Read more
Build Your Own AI Knowledge Base with LangChain and Pinecone Do you want to have your own AI assistant that can answer all your questions? With LangChain and Pinecone, you can easily achieve this! In this article, we will discuss how to use these two tools to build a personal AI knowledge base, making your … Read more
In developing the RAG system, the data formats in the knowledge base can be diverse, and most of them are unstructured data content. For example, PDF documents in the knowledge base are likely to contain table data, and our approach to handling this needs special attention to ensure that the table information can be correctly … Read more
.01 Overview In the rapidly evolving field of artificial intelligence, Generative AI and Agentic AI are two highly regarded technologies. They not only operate independently in terms of functionality but also exhibit different advantages in application scenarios and industry demands. As we approach 2025, the demand for AI from enterprises and developers is gradually shifting … Read more
Aitrainee | Public Account: AI Progress Student 🌟AgentGPT allows you to configure and deploy autonomous AI Agents. It is an improved version of AutoGPT based on Langchain, requiring no deployment, and provides a website that can be used directly. The customized agents will attempt to achieve their goals by thinking about the tasks to complete, … Read more
Follow us on WeChat: “Full Stack AI Knowledge” Set as a “Star”, bringing you new insights every day When building smart agents, Phidata and Langchain are undoubtedly the focal points in the industry. Both aim to enhance the performance of large language models (LLMs), but each has its unique focus and advantages. This article provides … Read more
AliMei’s Introduction This article shares detailed development experience and best practices using the AI framework LangChain, Alibaba Cloud Tongyi large model, and AnalyticDB vector engine, taking the construction of an AIGC application ChatBot and AI Agent as examples to provide a reference for quickly implementing AIGC applications. Introduction On September 13, the Tongyi Qianwen large … Read more
With the rapid development of large model technology, how to fully utilize AI while ensuring data privacy has become a hot topic. Open-source local large language models (LLMs) are gradually becoming an important tool to solve this problem. Today, we will introduce a star-level open-source model—LLaMA2, and see how it seamlessly implements the “text to … Read more