vndee/local-assistant-examples
Educational repository with examples for building RAG-based applications locally using Langchain, Ollama, and Streamlit.
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This repository provides hands-on examples for building Retrieval-Augmented Generation (RAG) systems locally. The primary example demonstrates how to create a document QA system using Langchain for orchestration, Ollama for local LLM inference, and Streamlit for the user interface. It is designed as a learning tool to help newcomers understand concepts of working with LLMs, not for production use.
Frequently asked
- What is vndee/local-assistant-examples?
- Educational repository with examples for building RAG-based applications locally using Langchain, Ollama, and Streamlit.
- Is local-assistant-examples open source?
- Yes — vndee/local-assistant-examples is open source, released under the MIT license.
- What language is local-assistant-examples written in?
- vndee/local-assistant-examples is primarily written in Python.
- How popular is local-assistant-examples?
- vndee/local-assistant-examples has 409 stars on GitHub.
- Where can I find local-assistant-examples?
- vndee/local-assistant-examples is on GitHub at https://github.com/vndee/local-assistant-examples.