Notebook Examples

Hybrid Search with Hyperspace Use semantic search and metadata filtering to match academic papers. Dataset: arXiv dataset

Embedding Model:

all-MiniLM-L6-v2 Vector Dimension: 384 No. Metadata Fields: 7 Query Operations: Vector search, key-value matching

Classic Search with Hyperspace Use classic search to match files of Crimes in Chicago. Dataset: Crimes in Chicago No. Metadata Fields: 23 Query Operations: Key-value matching, geo-distance matching, date matching

Hybrid Search and Hamming Distance with Hyperspace Use metadata filtering and vector search in binary format.

Dataset: Internal by Hyperspace Embedding Model:

Randomly generated data Vector Dimension: 200 No. Metadata Fields: 6 Query Operations: Vector search, key-value matching

Movie Recommendation with Hyperspace Use metadata filtering and semantic search to create a Movie recommendation engine.

Dataset: The Movie Dataset Embedding Model:

all-MiniLM-L6-v2 Vector Dimension: 384 No. Metadata Fields: 15 Query Operations: Vector search, key-value matching, aggregations

Matching Applications with Hyperspace Use metadata filtering and semantic search to match applications.

Dataset: ADVEC-ML App Data Embedding Model:

bge-small-en Vector Dimension: 384 No. Metadata Fields: 6 Query Operations: Vector search, key-value matching

E-Commerce Recommendation System with Hyperspace Use keyword filtering and multi vector search to build a recommendation system for Amazon products Dataset: Amazon Products Dataset Embedding Model:

Clip Vector Dimension: 384 No. Metadata Fields: 6 Query Operations: Vector search, text matching