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Data & Retrieval

Vector Database

A database designed to store and search embeddings (numerical representations of meaning). Rather than looking up an exact value, a vector database finds the most similar items. Used in RAG systems to match a user's question to the most relevant document chunks. Examples include Pinecone, Weaviate, and Chroma.

Related terms

Embeddings Fine-Tuning Knowledge Base RAG Semantic Search Synthetic Data

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