Intelligent Document Filtering

via “metadata extraction and filtering for fine-grained document retrieval”

Private document Q&A with local LLMs.

Unique: Extracts and stores document metadata alongside embeddings in the vector store, enabling metadata-based filtering during RAG retrieval. Metadata filtering is delegated to the vector store backend, supporting fine-grained document selection based on custom attributes.

vs others: Enables metadata-driven retrieval refinement (unlike basic semantic search), improving result relevance for large document collections with temporal or categorical organization.