Use Cases

Tutorials for hybrid search, adaptive retrieval, image search, multi-tenancy, sparse vectors, and RAG QA.

Hybrid Search

We will show you how to use pgvecto.rs to implement hybrid search in this section.

OpenAI latest embedding models support shortening embeddings, where developers could simply “remove some numbers from the end of a sequence” and still maintain

Image Search

Image intelligent search, also known as content-based image retrieval, goes beyond traditional keyword-based search and enables users to search for images based

Multi Tenancy

Multi-tenancy is essential for SaaS applications, allowing a single instance to serve multiple users or groups while ensuring data privacy and security. This bl

Sparse Vector

In the past, hybrid search combined two search methods: traditional keyword-based search and vector-based similarity search. However, sparse vector can act as a

Generative Question-Answering

Vector search can also be used to provide context to generative models such as OpenAI’s GPT series, improving the quality of the outputs.