Example use cases and demos

This page illustrates various use cases for vector databases by way of open-source demo projects. You can fork and modify any of them.

If you would like to contribute your own project to this page, please let us know by creating an issue on GitHub.

Similarity search

A vector databases enables fast, efficient similarity searches on and across any modalities, such as text or images, as well as their combinations. Vector database' similarity search capabilities can be used for other complex use cases, such as recommendation systems in classical machine learning applications.

Title	Description	Modality	Code
Plant search	Semantic search over plants.	Text	JavaScript
Wine search	Semantic search over wines.	Text	Python
Book recommender system (Video, Demo)	Find book recommendations based on search query.	Text	TypeScript
Movie recommender system (Blog)	Find similar movies.	Text	JavaScript
Multilingual Wikipedia Search	Search through Wikipedia in multiple languages.	Text	TypeScript
Podcast search	Semantic search over podcast episodes.	Text	Python
Video Caption Search	Find the timestamp of the answer to your question in a video.	Text	Python
Facial Recognition	Identify people in images	Image	Python
Image Search over dogs (Blog)	Find images of similar dog breeds based on uploaded image.	Image	Python
Text to image search	Find images most similar to a text query.	Multimodal	JavaScript
Text to image and image to image search	Find images most similar to a text or image query.	Multimodal	Python

LLMs and search

Vector databases and LLMs go together like cookies and milk!

Vector databases help to address some of large language models (LLMs) limitations, such as hallucinations, by helping to retrieve the relevant information to provide to the LLM as a part of its input.

Title	Description	Modality	Code
Verba, the golden RAGtriever (Video, Demo)	Retrieval-Augmented Generation (RAG) system to chat with Weaviate documentation and blog posts.	Text	Python
HealthSearch (Blog, Demo)	Recommendation system of health products based on symptoms.	Text	Python
Magic Chat	Search through Magic The Gathering cards	Text	Python
AirBnB Listings (Blog)	Generation of customized advertisements for AirBnB listings with Generative Feedback Loops	Text	Python
Distyll	Summarize text or video content.	Text	Python

Learn more in our LLMs and Search blog post.

Classification

Weaviate can leverage its vectorization capabilities to enable automatic, real-time classification of unseen, new concepts based on its semantic understanding.

Title	Description	Modality	Code
Toxic Comment Classification	Clasify whether a comment is toxic or non-toxic.	Text	Python
Audio Genre Classification	Classify the music genre of an audio file.	Image	Python

Other use cases

Weaviate's modular ecosystem unlocks many other use cases of the Weaviate vector database, such as Named Entity Recognition or spell checking.

Title	Description	Code
Named Entity Recognition (NER)	tbd	Python

Questions and feedback

If you have any questions or feedback, let us know in the user forum.

• Technical questions
• Documentation feedback