Skip to content

Use Case: Recommendations

Enhance user experiences with personalized recommendations by combining Mantium’s powerful embedding transformation and a vector database like Pinecone. Build recommendation systems for products, content, and more to deliver tailored experiences to your users.

Data Connectors

None needed.

Transformations

Generate Embeddings

Generate embeddings for text data using third-party LLMs (language models) such as OpenAI’s ada-2.

Building Recommendation Systems with Embeddings and Vector Databases

Create recommendation systems for your platform by leveraging Mantium’s embedding transformation and a vector database like Pinecone. Offer personalized recommendations for products, content, and more to improve user engagement and satisfaction.

  1. Use Mantium to process your data and apply the Generate Embeddings transformation
  2. Export the generated embeddings to a vector database like Pinecone
  3. Build a recommendation system based on similarity scores in the vector database
  4. Deliver personalized recommendations to users, enhancing their experience

DATA CONNECTORS

None needed,

TRANSFORMATIONS

Generate Embeddings

Ready to create personalized recommendations for your users?

©2023 Mantium. All rights reserved. All trademarks are property of their respective owners in the US and other countries.
Terms of Service | Privacy Policy