Vector search example notebooks
The examples in this section demonstrate usage of the vector search Python SDK. For reference information, see the Python SDK reference.
LangChain examples
See How to use LangChain with Mosaic AI Vector Search for using Mosaic AI Vector Search as in integration with LangChain packages.
The following notebook shows how to convert your similarity search results to LangChain documents.
Vector search with the Python SDK notebook
Notebook examples for calling an embeddings model
The following notebooks demonstrate how to configure a Mosaic AI Model Serving endpoint for embeddings generation.
Call an OpenAI embeddings model using Mosaic AI Model Serving notebook
Call a GTE embeddings model using Mosaic AI Model Serving notebook
Register and serve an OSS embedding model notebook
Use Vector Search with an OAuth token
The following notebook shows how to call a vector search endpoint using the vector search SDK or HTTP with a fresh OAuth token.