Real-Time Image Clustering using Amazon Titan Multimodal Embedding 

Categorizing documents is an important first step in Intelligent Document Processing (IDP) systems. It helps you determine the next set of actions to take depending on the type of document. For example, during the claims adjudication process, the accounts payable team receives the invoice, whereas the claims department manages the contract or policy documents. Traditional rule engines or ML-based classification can classify the documents, but often reach a limit on types of document formats and support for the dynamic addition of a new classes of document.
In this video, we are going to discuss document classification using the Amazon Titan Multimodal Embeddings model to classify any document types without the need for training.
Prerequisite:
==========
Image Classification with Vector Semantic Search using Pinecone metadata filters
• Image Classification w...
Code:
=====
github.com/Sat...
Check this playlist for more Data Engineering related videos:
• Demystifying Data Engi...
Apache Kafka form scratch
• Apache Kafka for Pytho...
Messaging Made Easy: AWS SQS Playlist
• Messaging Made Easy: A...
Snowflake Complete Course from scratch with End-to-End Project with in-depth explanation--
doc.clickup.co...
Explore our vlog channel:
/ @funwithourfam
#aws #amazonaws #bedrock #titan #embedding #ai #genai #idp