The Excellence
Directory Platform Template

Fully managed cloud service for the open-source Typesense search engine, including support for vector search and hybrid search use cases.

A CVPR 2020 tutorial on large-scale image retrieval in unconstrained environments, including methods and system considerations for vector-based image search relevant to vector database and ANN applications.

Foundational IR textbook that includes content on vector‑space models and retrieval, providing essential background for understanding vector search and hybrid retrieval in modern vector databases.

A CVPR 2023 tutorial that demonstrates neural search systems in practice, including vector representations, similarity search, and scalable retrieval architectures closely related to vector databases.

Chroma is an open-source AI-native vector database that provides semantic, full-text, and regex search as a memory layer for LLM and RAG applications.

chromem-go is a Go client and implementation for Chroma-like vector database functionality, enabling embedding storage and similarity search in Go applications.

Vector Search is Google Cloud Vertex AI’s managed vector search engine built on the ScaNN algorithm. It provides scalable, high‑performance vector similarity search for semantic search, recommendations, and generative AI applications, offering enterprise‑grade availability and the same underlying technology used in Google products like Search, YouTube, and Google Play.

Comprehensive vector data tooling library focused on working with vector embeddings and ANN data, useful for building, evaluating, and managing datasets and pipelines for vector databases and similarity search systems.

A serverless ML orchestration service on Google Cloud used to build automated pipelines that can generate embeddings and create or update vector search indexes, supporting MLOps workflows for vector database–backed search and recommendation systems.