Vector Database
A specialized database optimized for storing and querying high-dimensional mathematical representations of unstructured data like text, images, and audio.
Traditional SQL databases search by exact keyword match. Vector databases search by *meaning*. When BASALTECHO ingests your enterprise documents, each paragraph is converted into a 1,536-dimension vector embedding that captures its semantic meaning. Searching for "payment disputes" will also return documents about "billing conflicts" and "invoice disagreements" even if those exact words never appear. BasaltHQ deploys tenant-isolated vector indices, ensuring absolute data separation between clients while enabling sub-50ms semantic retrieval across millions of enterprise documents.
Related Concepts
See also:
Retrieval-Augmented Generation
A technique that grounds LLM responses in factual, enterprise-specific data by retrieving relevant documents before generating an answer.
See also:
Semantic Search
A search methodology that understands the intent and contextual meaning behind a query, rather than matching literal keywords.
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Embedding Model
A neural network that converts raw data (text, images, audio) into dense numerical vectors that capture semantic meaning.