This demo leverages a pre-trained SentenceTransformer model to perform semantic searches on startup descriptions, transforming them into vectors for the Qdrant engine.

Enter a query to see how neural search compares to traditional full-text search, with the option to toggle neural search on and off for direct comparison.

Explore personalized meal recommendations with our demo, using Delivery Service data. Like or dislike dish photos to refine suggestions based on visual appeal.

Filter options allow for restaurant selections within your delivery area, tailoring your dining experience to your preferences.

Discover the power of vector databases in e-commerce through our demo. Simply input a product name and watch as our multi-language model intelligently categorizes it. The dots you see represent product clusters, highlighting our system's efficient categorization.

Semantic search isn't just for natural language. By combining results from two models, qdrant is able to locate relevant code snippets down to the exact line.