Semantic search uses embedding to understand the meaning of search queries instead of relying solely on keyword matches to locate documents.
Embedding is like a translator converting words into numbers so that computers can understand. Chroma makes it easy to create embeddings from documents and find similar results with a few lines of code.
In the code above, the documents with IDs 1 and 2 closely match the given query text.
