Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: Multi-Modal Embeddings #341

Open
wants to merge 1 commit into
base: main
Choose a base branch
from

Conversation

hieulaitrung
Copy link

Issue #, if available: #312 Multi-Modal Embeddings

Description of changes:
Adding new Python POC under folder genai-quickstart-pocs-python/amazon-bedrock-multi-modal-embeddings-poc.
This POC demonstrates the implementation of reverse image search using Amazon Bedrock Titan Multimodal Embeddings model and Anthropic Claude 3, with a Streamlit frontend interfacing with FAISS vector database and local file system as image store. Users can import images from Hugging Face datasets which are processed to generate vector embeddings for the database. The system enables reverse image search where users can make a query and/or upload a reference image to find similar ones, with the LLM model providing detailed analysis of the results.

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

@hieulaitrung hieulaitrung force-pushed the multi-modal-embeddings branch from 172b3ad to 373681c Compare February 19, 2025 03:11
@hieulaitrung hieulaitrung force-pushed the multi-modal-embeddings branch from 373681c to 8432313 Compare February 19, 2025 04:07
Copy link
Contributor

@trevorspires trevorspires left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM. Thanks for shipping!!!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants