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 searcharrow-up-right Applying a combination of KNN and metadata filtering to match academic papers.

384

7

Brute Force KNN

all-MiniLM-L6-v2

Classic Searcharrow-up-right Matching Files of Crimes in Chicago using lexical (classic) search.

N/A

21

N/A

N//A

Hybrid Searcharrow-up-right 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 Systemarrow-up-right 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 arrow-up-rightMatching applications using Hybrid search that combines vector search over text embedding and metadata filtering.

384

6

Brute Force KNN

Hybrid Similarity Search arrow-up-right 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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