by hoangsonww · Agent Tool · ★ 38
🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.
| Stars | 38 |
| Forks | 13 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 36.3/100 |
| Open Issues | 8 |
| Last Updated | 2026-04-13 |
| Created | 2025-02-05 |
| Est. Tokens | ~7338k |
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RAG-LangChain-AI-System is 🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining. It is categorized as a Agent Tool with 38 GitHub stars.
RAG-LangChain-AI-System is primarily written in Jupyter Notebook. It covers topics such as bert, expressjs, faiss.
You can find installation instructions and usage details in the RAG-LangChain-AI-System GitHub repository at github.com/hoangsonww/RAG-LangChain-AI-System. The project has 38 stars and 13 forks, indicating an active community.
RAG-LangChain-AI-System is released under the MIT license, making it free to use and modify according to the license terms.