Unverified50% confidenceFactExact time
Postgres's built-in full-text search is based on two data types: tsvector and tsquery.
1
Sources
50%
Confidence
Long-term
Relevance
9/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTypical examples of the "Just use Postgres" philosophy include using pgvector instead of a vector database, using pg_cron instead of Celery/Redis for scheduled tasks, and using LISTEN/NOTIFY instead of a message queue.61% similarUnverifiedImmich 借助 pgvector 将 CLIP 特征向量持久化存储，pgvector 是 PostgreSQL 的向量相似度搜索扩展，于 2021 年首次发布57% similarVerifiedThe pgvector extension adds vector storage and similarity search capabilities to PostgreSQL, enabling Supabase to serve simultaneously as a traditional database and a vector database.57% similarVerifiedVector databases (such as Pinecone and Milvus) are the core components of knowledge base retrieval, used to store semantic vectors of text and enable similarity search.55% similarVerifiedVector databases (such as Pinecone, Weaviate, Milvus, etc.) convert text into high-dimensional vectors via embedding models and use cosine similarity or Euclidean distance for approximate nearest neighbor (ANN) search.54% similar
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