Create a Personalized AI Chatbot That Talks to Your Data

• Design and implement Retrieval-Augmented Generation (RAG) architectures, combining state-of-the-art retrieval techniques with generative AI models to generate contextually relevant and accurate responses.
• Utilize cutting-edge tools such as LangChain, OpenAI’s GPT, and vector databases to build advanced conversational AI systems that interact seamlessly with your data.
• Master techniques for processing and querying large datasets, including algorithms for splitting, indexing, and retrieving information from large documents or extensive knowledge repositories to optimize chatbot performances.

‍

• Intermediate skills of programming in python: You should be able to write functions, classes, class attributes, for loops, if statements, break statements)
• Foundational Knowledge of NumPy: You should understand array shapes and how to manipulate them (reshaping, slicing, indexing). You should also be comfortable performing vectorized operations and basic matrix operations.
• Basic Mathematical Concepts: A clear understanding of vector representations, including how embeddings work in a vector space.