Example Notebooks
Here are various use cases for search by way of open-source demo projects. You can fork and modify any of them.
Example | Vector Dimension | No. Metadata Fields | Vector Index | Embedding Model |
---|---|---|---|---|
Hybrid Similarity Search Applying a combination of KNN and metadata filtering to match academic papers. | 384 | 7 | Brute Force KNN | all-MiniLM-L6-v2 |
Classic Search Matching Files of Crimes in Chicago using lexical (classic) search. | N/A | 21 | N/A | N//A |
Hybrid Similarity Search Matching commercial stores using a combination of metadata filtering and vector search over embedded images in binary format. | 200 (binary) | 6 | IVF with hamming distance | N//A |
Recommendation System Using Hybrid Search Movie recommendation engine, using a combination of text embedding and metadata filtering. | 384 | 15 | Brute Force KNN | all-MiniLM-L6-v2 |
Hybrid Similarity Search Matching applications using Hybrid search that combines vector search over text embedding and metadata filtering. | 384 | 6 | Brute Force KNN | |
Hybrid Similarity Search Building a search engine for Amazon products, using a multi vector search, combining text and image embedding. | 512, 512 | N/A | HNSW |
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