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Semantic search is powerful, but is not the answer to everything. For example, you donamp;#39;t need a semantic search. If you are searching for a year or a name, instead use directed lookups for those cases. A semantic search should be used to extract meaning from text. Letamp;#39;s see how this works. I have a big wine reviews dataset in Qdrant with 130k registers. This collection, on Qdrant, was created to store our wine reviews. Here we can see that each review is converted into a document object that includes the metadata. I made it with this structure because it is the same one generated in LangChain and we will need it later. In the metadata, we have numeric fields such as points and price that reflect the wine evaluation score and the bottle price. We then embed these documents and upload them to our Qdrant collection. Now letamp;#39;s move on to the step that matters. Perform a semantic search and demonstrate filtering based on metadata. So, Qdrant allows us to set conditio
