Verified65% confidenceFactTime unknown
The knowledge base relies on RAG (Retrieval-Augmented Generation) technology at its foundation, slicing private documents and converting them into high-dimensional vectors via an Embedding model for storage in a vector database.
3
Sources
65%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedVector databases, by converting text into high-dimensional vectors and building approximate nearest neighbor (ANN) indexes, form the core infrastructure of the RAG (retrieval-augmented generation) architecture.77% similarVerifiedDuring the RAG indexing phase, documents are chunked and converted into vectors via an embedding model, then stored in vector databases such as Faiss, Pinecone, and Weaviate.76% similar
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