Expired80% confidenceFactExact time
Mainstream vector database products include Pinecone, Chroma, and Weaviate, where text is converted into high-dimensional vectors via embedding models and stored within them.
6
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedDuring 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.80% similarVerifiedVector databases such as FAISS, Chroma, and Weaviate build indexes by encoding text as high-dimensional vectors, enabling semantic similarity retrieval in milliseconds.79% similarVerified向量存储常用专用向量数据库如Pinecone、Chroma、Weaviate，支持近似最近邻检索78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/45402API
curl https://kongchang.com/api/v1/knowledge/claims/45402MCP
get_claim(id=45402)