What is Corpus?

Explained

A corpus is a structured collection of documents—often used for training models or as the knowledge base in RAG systems. Quality and structure of the corpus directly affect retrieval and generation quality.

Further reading

• Vector Databases for RAG: Powering Semantic Search for LLMs
• Fusion RAG: Boosting Accuracy and Relevance in Generative AI

Related terms

• Knowledge Base Structured repository of information; base of RAG systems and assistants.
• RAG Retrieve relevant documents and use them as context to generate the answer.
• Retrieval Search phase that fetches relevant documents or passages for a query.
• Training Process of teaching the model with data (pre-training, fine-tuning).
• Big Data Large volumes of data requiring specialized tools; feedstock for training AI models.
• Context Engineering Designing what the model sees—retrieval, memory, summaries, and window budgeting.