Workshop: practical use of RAG

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Tekna Big Data hosted a very fun, interactive, and hands-on Discord workshop where we explored a practical RAG use case using three powerful frameworks: LangChain, LlamaIndex, and DSPy. This session demonstrated how to enrich language model responses with external data sources, thereby improving accuracy, relevance, and trustworthiness in AI-driven applications.

Participants learned how LangChain, LlamaIndex, and DSPy can be leveraged for building RAG pipelines with both structured and unstructured data.

The workshop was ideal for developers, ML engineers, and researchers looking to integrate RAG into their applications.

Basic familiarity with Python and LLM was recommended for hands-on participation.