Build Your AI Search Bot with LLM and Search Engines

August 15, 2024 · 938 words · 5 min

In the tide of artificial intelligence, the combination of large language models (LLMs) and search engines has brought revolutionary changes to the field of information retrieval. This article will provide a detailed introduction on how to use these technologies to build an intelligent information retrieval assistant—an AI search bot. We will delve into various aspects such as project background, core principles, code implementation, usage examples, and open-source addresses.

Use RAG to build your private knowledge base based on llama3 and langchain!

April 28, 2024 · 806 words · 4 min

LLM has timeliness and phantom problems, in How to solve the problem of large model timeliness and accuracy with? the core principle of RAG technology article I introduced the core principle of RAG, this article will share how to build a local private knowledge base based on llama3 and langchain.

Retrieval-Augmented Generation

April 24, 2024 · 759 words · 4 min

In the era of information explosion, we are faced with the challenge of vast amounts of data. Retrieving useful information from this data is becoming increasingly difficult for people. To address this issue, researchers have proposed a novel technology called RAG (Retrieval-Augmented Generation).

RAG combines the methods of retrieval and generation to make information extraction from large-scale data more efficient and accurate.

This article will introduce the definition, working principle, and problems addressed by RAG.