klotz: chromadb*

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  1. This article provides a step-by-step guide to creating an AI-powered English tutor using Retrieval-Augmented Generation (RAG). It integrates a vector database (ChromaDB) for storing and retrieving relevant English language learning materials and Groq API for generating structured and engaging lessons. The tutorial covers installing necessary libraries, setting up the environment, defining a vector database class, implementing AI lesson generation, and combining vector retrieval with AI generation.

  2. Walkthrough on building a Q and A pipeline using various tools, and distributing it with ModelKits for collaboration.

    2024-07-10 Tags: , , , , , , by klotz
  3. In this notebook, we will explore a typical RAG solution where we will utilize an open-source model and the vector database Chroma DB. However, we will integrate a semantic cache system that will store various user queries and decide whether to generate the prompt enriched with information from the vector database or the cache.

    2024-03-12 Tags: , , , , by klotz

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