What is Context Engineering?

Explained

Context engineering goes beyond prompts to orchestrate documents, tool outputs, and long-horizon memory within the context window. It is the practical backbone of reliable RAG and agents.

Further reading

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

Related terms

• Context Window Amount of text a model can process in a single call.
• 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.
• Big Data Large volumes of data requiring specialized tools; feedstock for training AI models.
• Corpus Collection of documents used to train or feed a system (e.g., RAG).
• Data Lake Repository that stores raw data; source for analytics and ML.