hacktronaut/ollama-rag-demo
This application serves as a demonstration of the integration of langchain.js, Ollama, and ChromaDB to showcase question-answering capabilities. With a focus on Retrieval Augmented Generation (RAG), this app enables shows you how to build context-aware QA systems with the latest information.
This application demonstrates how to build a question-answering system that provides up-to-date and context-aware responses. It takes user questions and retrieves relevant information from a connected database to generate answers. This is for developers who want to learn how to integrate large language models with their own data to create intelligent QA systems.
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Use this if you are a developer looking to understand how to combine a local language model (Ollama) with a vector database (ChromaDB) to create a custom, knowledge-aware question-answering application.
Not ideal if you are looking for an out-of-the-box, ready-to-use QA application without any coding.
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JavaScript
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Last pushed
Feb 11, 2024
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