Hands-on workshop on building a search engine from scratch, focusing on text search and vector search. Topics include in-memory text search, tokenization and preprocessing, inverted index construction, embeddings, converting text to vectors, cosine similarity, and strategies to combine text and vector search. The session includes practical coding in a Jupyter Notebook using Python to implement both text and vector search approaches.

Workshop led by Alexey Grigorev on building a chatbot using large language models with Python. Topics include data extraction from FAQs, knowledge base indexing, chatbot setup in a Jupyter Notebook, interfacing with LLMs, and implementing Retrieval-Augmented Generation (RAG).