Integrate the Gaia embedding models into the pipeline to generate vector embeddings from the parsed data. This involves configuring the models to accept the structured data and output vector representations that can be stored in the knowledge base. Proper integration of the Gaia embedding models is essential for creating a high-quality, searchable vector database that enhances the functionality of AI agents.
[X] Identify public GAIA node and embedding model for dev/testing
[X] Implement custom Embedder UDF capable of connecting to a GAIA node
[X] Identify parameters for tunning execution through parallelization
Integrate the Gaia embedding models into the pipeline to generate vector embeddings from the parsed data. This involves configuring the models to accept the structured data and output vector representations that can be stored in the knowledge base. Proper integration of the Gaia embedding models is essential for creating a high-quality, searchable vector database that enhances the functionality of AI agents.