Chunk Segmentation Based on Semantics in RAG

Chunk Segmentation Based on Semantics in RAG

In RAG, after reading the files, the main task is to split the data into smaller chunks and then embed these features to express their semantics. The location of this process in RAG is shown in the figure below. The most common chunking method is rule-based, using techniques such as fixed chunk sizes or overlapping … Read more

Understanding RAG: Concepts, Scenarios, Advantages, and Code Examples

Understanding RAG: Concepts, Scenarios, Advantages, and Code Examples

This article explains the relevant concepts of RAG, combined with code examples based on the “Building a Personal Knowledge Base with ERNIE SDK + LangChain”. Concept In 2020, the Facebook AI Research (FAIR) team published a paper titled “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks”. This paper first introduced the concept of RAG, which is currently … Read more

Easily Build a Knowledge Base with LangChain, LlamaIndex, and OpenAI

Easily Build a Knowledge Base with LangChain, LlamaIndex, and OpenAI

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

Comparison of LlamaIndex and LangChain: Which Large Model Framework is Better?

Comparison of LlamaIndex and LangChain: Which Large Model Framework is Better?

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

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

LangChain: The Trendiest Web Framework of 2023

LangChain: The Trendiest Web Framework of 2023

Author: Richard MacManus Translator: Ming Zhi Shan Editor: Tina LangChain is a programming framework that helps use large language models (LLMs) in applications. Like everything in generative AI, this project’s development is very rapid. In October 2022, it started as a Python tool, and then in February this year, support for TypeScript was added. By … Read more

Pinecone + LangChain: Building an Efficient AI Retrieval System

Pinecone + LangChain: Building an Efficient AI Retrieval System

Pinecone + LangChain: Building an Efficient AI Retrieval System Recently, while experimenting with AI retrieval systems, I found that Pinecone and LangChain are a match made in heaven. Pinecone is a powerful vector database, and LangChain is a flexible framework. Combining the two allows you to easily build an efficient AI retrieval system. Today, I … Read more