What is Vector Database?
A type of database designed to store and query high-dimensional vectors (embeddings) for similarity search.
Vector databases are essential for RAG and semantic search. They allow systems to find content that is conceptually similar to a query, even if the keywords don't match exactly. Examples include Pinecone, Weaviate, and pgvector.
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AI Agent
An autonomous software program capable of perceiving its environment, reasoning, and taking actions to achieve specific goals with minimal human intervention.
Large Language Model (LLM)
A deep learning algorithm that can recognize, summarize, translate, predict, and generate text and other content based on knowledge gained from massive datasets.
Retrieval-Augmented Generation (RAG)
A technique that enhances the accuracy and reliability of generative AI models with facts fetched from external sources.