Semantic search, but without embeddings - how to do it?
The article discusses semantic search without the use of embeddings. The author points out that traditional search methods rely heavily on keyword matching, which often results in inaccurate outcomes. With the advent of embedding technologies, there has been a fundamental shift in how we interpret the meanings of words in context. However, the author emphasizes that it’s still possible to achieve good search results without depending on embeddings at all. Instead, the key lies in analyzing the context of queries and the structure of the available data. Systems can be optimized to use rules and heuristics to enhance search results. In conclusion, although embedding-based techniques have gained traction, there are viable alternatives that can be equally effective through well-designed search systems.