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How to Build a Chatbot Using Retrieval Augmented Generation (RAG)

Rockset

MAY 21, 2024

Due to these aforementioned limitations, the Retrieval-Augmented Generation (RAG) approach was introduced to overcome the innate challenges of traditional LLMs. What is RAG? RAG (Retrieval-Augmented Generation) is an approach designed to enhance the responses and capabilities of traditional LLMs (Large Language Models).

Building

Building Utilities Datasets Database

Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

APRIL 23, 2024

Historically, this SKU enrichment of extracting and tagging attributes has been a purely manual process led by contract operators. For instance, given the item name “Dove Silk Glow Body Wash 500 ml,” a token classifier would tag each entity in the item name as shown in Table 1. This approach further boosted our coverage.

Building

Building Retail Manufacturing Unstructured Data

Data Engineering Digest

How to Build a Chatbot Using Retrieval Augmented Generation (RAG)

Building DoorDash’s Product Knowledge Graph with Large Language Models

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