Embed and Search Text at Scale with Modal and Weaviate

1. 1Vectorize text data using a library like transformers
2. 2Use Modal to parallelize and scale the vectorization process
3. 3Ingest the vectorized data into Weaviate for efficient storage and querying
4. 4Utilize Weaviate's search capabilities to query the text data

Data scientists and engineers can benefit from this approach to efficiently process and query massive amounts of text data, enabling applications like semantic search and information retrieval

💡 Modal and Weaviate can be used together to efficiently vectorize and search large text datasets

🚀 Vectorize 50M+ objects with Modal and search at scale with Weaviate!