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docs: Fixed typos and improve metadata explanation (#29266)

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Fix mini typos and made the explanation of metadata filtering clearer
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Zapiron 2025-01-18 00:17:40 +08:00 committed by GitHub
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docs/docs/concepts/vectorstores.mdx
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@ -151,10 +151,10 @@ Many vectorstores support [the `k`](/docs/integrations/vectorstores/pinecone/#qu
### Metadata filtering
While vectorstore implement a search algorithm to efficiently search over *all* the embedded documents to find the most similar ones, many also support filtering on metadata.
This allows structured filters to reduce the size of the similarity search space. These two concepts work well together:
Metadata filtering helps narrow down the search by applying specific conditions such as retrieving documents from a particular source or date range. These two concepts work well together:
1. **Semantic search**: Query the unstructured data directly, often using via embedding or keyword similarity.
2. **Metadata search**: Apply structured query to the metadata, filering specific documents.
1. **Semantic search**: Query the unstructured data directly, often via embedding or keyword similarity.
2. **Metadata search**: Apply structured query to the metadata, filtering specific documents.
Vector store support for metadata filtering is typically dependent on the underlying vector store implementation.