Context Sources
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What is Context Sources?
Context sources are the places an AI system pulls information from to build what a model sees at inference time. Common sources include documents and knowledge bases, databases and data warehouses, code repositories, chat and support tools, and the outputs of other tool calls or agents. Each source has its own update frequency, access rules, and format, so combining them well requires normalizing and filtering before the data reaches the model. Choosing the right sources for a task matters as much as how much data is included.
Free resources to learn Context Sources
More in stage 4: Context Engineering
Context Sources: common questions
Can I learn Context Sources in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Context Sources in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Context Sources tutorial for beginners?
It is lesson 32 of 189 in the free AI Engineer roadmap, in stage 4, Context Engineering. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.