> For the complete documentation index, see [llms.txt](https://docs.texti.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.texti.ai/in-context-learning.md).

# In-Context Learning

### What is In-Context Learning? 

In-Context Learning (for Building AI Co-Pilots) using the Retrieval Augmented Generation (RAG) pattern enhances large language models (LLMs) by integrating them with external information retrieval systems. \
Rather than relying exclusively on an LLM's pre-trained knowledge, RAG taps into external sources to provide contextually rich responses. This is crucial since the knowledge within LLMs is confined to a specific cutoff date. Building AI Co-Pilots utilizing this approach demands a considerable amount of technical expertise, given the requirements such as creating embeddings, devising chunking strategies, and establishing a vector database.\
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[Please refer to this mindmap to understand how the responses of foundational models are altered based on the chosen customization technique.](/overview.md)