Generally, when a user asks a query, the system searches for the relevant chunks stored in the vector database using cosine similarity. The better we can filter the data, the smaller the search space becomes, resulting in faster and more efficient retrieval. Suppose we have a book with 10 chapt...
Source: [Dev.to](https://dev.to/ramya_perumal_e93721ef2fa/rag-meta-filtering-and-reranking-22i1)