Improving search with RAG architecture with Pinecone CEO Edo Liberty
No Priors: Artificial Intelligence | Technology | Startups
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Hybrid Search and the Evolution of Embeddings
Research indicates that well-executed embeddings often eliminate the need for keywords, but achieving optimal embedding performance can be complex. Implementing a hybrid search approach, combining keywords and embeddings, is found to be advantageous. By representing keywords as sparse vectors and allowing the usage of both sparse and dense vectors, a versatile searching capability is achieved. This hybrid approach is seen as a temporary convenience for boosting search results, with traditional keyword embedding likely to diminish over time. The evolution towards hybrid search entails incorporating various techniques like boosting and vector manipulation, offering a more sophisticated alternative to traditional search methods.
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