📄️ Vanilla Text Vector-Search on MongoDB
This guide shows how to use SuperDuperDB for vector search, a powerful technique to find similar documents. We'll cover the setup and demonstrate searching a dataset of documents. Vector search with SuperDuperDB is a useful tool in various situations:
📄️ Multimodal Vector-Search Using CLIP on MongoDB
This notebook demonstrates how SuperDuperDB can perform multimodal searches using the VectorIndex. It highlights SuperDuperDB's flexibility in integrating different models for vectorizing diverse queries during search and inference. In this example, we utilize the CLIP multimodal architecture.
📄️ Video Vector-Search with Text on MongoDB
This notebook guides you through the process of searching for specific textual information within videos and retrieving relevant video segments. To achieve this, we leverage various libraries and techniques, including:
📄️ Vector-Search Using Chunked Data on MongoDB
Let's find specific text within documents using vector-search. In this
📄️ Multimodel Vector-Search on DuckDB
SuperDuperDB offers the flexibility to connect to various SQL databases. Check out range of supported SQL databases here
📄️ Vector-Search on Snowflake
In this use-case we describe how to implement vector-search using superduperdb on Snowflake.