Study AI-powered doc search, RAG, FastAPI, ChromaDB, embeddings, vector search, and Streamlit UI
What you’ll study
Arrange and configure Mistral AI & Ollama regionally for AI-powered purposes.
Extract and course of textual content from PDFs, Phrase, and TXT information for AI search.
Convert textual content into vector embeddings for environment friendly doc retrieval.
Implement AI-powered search utilizing LangChain and ChromaDB.
Develop a Retrieval-Augmented Era (RAG) system for higher AI solutions.
Construct a FastAPI backend to course of AI queries and doc retrieval.
Design an interactive UI utilizing Streamlit for AI-powered data retrieval.
Combine Mistral AI with LangChain to generate contextual responses.
Optimize AI search efficiency for quicker and extra correct outcomes.
Deploy and run an area AI-powered assistant for real-world use circumstances.
English
language
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