hoangsonww / RAG-LangChain-AI-System

🧠 This repository features an agentic, Retrieval-Augmented Generation (RAG) system powered by LangChain, FAISS, Hugging Face, and Ollama, running in Google Colab for portfolio support. It integrates document retrieval, dynamic entity extraction, and external API calls to generate context-aware responses with an interactive AI assistant.

Date Created 2025-02-05 (about a month ago)

Commits 20 (last one 8 days ago)

Stargazers 27 (0 this week)

Watchers 20 (0 this week)

Forks 17

License mit

Ranking

RepositoryStats indexes 633,155 repositories, of these hoangsonww/RAG-LangChain-AI-System is ranked #615,556 (3rd percentile) for total stargazers, and #108,616 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #18,324/19,083.

hoangsonww/RAG-LangChain-AI-System is also tagged with popular topics, for these it's ranked: python (#23,008/23437), typescript (#10,377/10634), machine-learning (#8,268/8408), llm (#3,400/3577), flask (#1,076/1094), transformers (#888/900), langchain (#722/759), rag (#664/691), expressjs (#600/626), bert (#572/578), language-model (#534/544), ollama (#458/485), huggingface (#398/415), llama2 (#234/241), retrieval-augmented-generation (#224/230)

Other Information

Homepage URL: https://hoangsonww.github.io/RAG-LangChain-AI-System/

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20 commits on the default branch (master) since jan '22

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updated: 2025-03-26 @ 03:38am, id: 927445351 / R_kgDON0exZw