VectorIndexScenarioSuite

This repository contains a suite of scenarios designed to explore vector indexing capabilities in CosmosDB NoSQL.

Blog Post Series

For a detailed explanation and walkthrough of each scenario, refer to our Cosmos DB Blog post series.

List of supported Scenarios :

1. Wiki-Cohere-English-EmbeddingOnly Scenario :

   The Wiki Cohere English Embedding Only Scenario contains 768 dimensional embeddings of English Wikipedia articles (without corresponding passage text). The embeddings have been generated using Cohere’s multilingual-22-12 model.

   For simplicity, we use pre-processed version of the dataset hosted at BigANN. This dataset contains :

   • Base data slices of sizes [100K, 10Million and 35Million].
   • Query vectors and corresponding ground truth neighbor identifiers / distances for 5000 vectors not in the base dataset.

   The dataset uses the BigANNBinary format documented at BigANNBenchmarks

Please Watch / Star this repository as we will be adding multiple new scenarios in the near future.