Part 13/14:
- Cost Optimization: Utilizing APIs and large models incurs costs; employing domain-specific or fine-tuned models can reduce token-based expenses.
Future Directions: The Growing Importance of Embeddings
As the world generates data relentlessly, the need to store, retrieve, and understand unstructured data at scale becomes critical. The evolution from keyword search to semantic, embedding-based retrieval marks a significant leap forward. The advent of vector databases is making it feasible for enterprises to manage vast, complex data landscapes efficiently.