Mistral AI Development: AI with Mistral, LangChain & Ollama
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📖 Description
Develop a Retrieval-Augmented Generation (RAG) system for better AI answers.
🎯What You'll Learn
Set up and configure Mistral AI and Ollama for local AI-powered development.Extract and process text from documents using PDF, DOCX, and TXT file parsing.Convert text into embeddings with sentence-transformers and Hugging Face models.Store and retrieve vectorized documents efficiently using ChromaDB for AI search.Implement Retrieval-Augmented Generation (RAG) to enhance AI-powered question answering.Develop AI-driven APIs with FastAPI for seamless AI query handling.Build an interactive AI chatbot interface using Streamlit for document-based search.Optimize local AI performance for faster search and response times.Enhance AI search accuracy using advanced embeddings and query expansion techniques.Deploy and run a self-hosted AI assistant for private, cloud-free AI-powered applications.Key Technologies & Tools UsedMistral AI – A powerful open-source LLM for local AI applications.Ollama – Run AI models locally without relying on cloud APIs.LangChain – Framework for retrieval-based AI applications and RAG implementation.ChromaDB – Vector database for storing embeddings and improving AI-powered search.Sentence-Transformers – Embedding models for better text retrieval and semantic search.FastAPI – High-performance API framework for building AI-powered search endpoints.Streamlit – Create interactive AI search UIs for document-based queries.Python – Core language for AI development, API integration, and automation.Why Take This Course?AI-Powered Search & Knowledge Retrieval – Build document-based AI assistants that provide accurate, AI-driven answers.Self-Hosted & Privacy-Focused AI – No OpenAI API costs or data privacy concerns—everything runs locally.Hands-On AI Development – Learn by building real-world AI projects with LangChain, Ollama, and Mistral AI.Deploy AI Apps with A
⚠️ Requirements
Basic understanding of Python programming is essential. You’ll be writing code, so familiarity with Python syntax and fundamental concepts is a must.Some familiarity with command-line interfaces (CLI) will be helpful for setting up Ollama and navigating project directories.A general interest in artificial intelligence and machine learning concepts, though deep theoretical knowledge isn’t strictly required to get started.
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