Trieu Nguyen (trieu)

trieu

User data from Github https://github.com/trieu

Company:@open-theta @rfxlab @USPA-Technology @bigdatavietnam-org

Location:Ho Chi Minh City

Home Page:https://dataism.one

GitHub:@trieu

Twitter:@tantrieuf31


Organizations
rfxlab
USPA-Technology

Trieu Nguyen's repositories

leo-cdp-free-edition

The binary build of LEO CDP Free Edition for training purposes

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resynap

AI-first Customer 360 Framework with Chatbot

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leo-cdp-framework

LEO CDP is an open-source, AI-first Customer Data Platform for building customizable, self-hosted, privacy-friendly CDP infrastructure. It unifies data collection, enables real-time analytics, audience segmentation, and personalized marketing — powered by big data and machine learning.

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resynap360

Customer 360 for ReSynap Chatbot

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Document-QA-System

A Streamlit-based app for asking questions directly from uploaded documents using Gemini embeddings and a language model. Supports PDF, TXT, and DOCX files. Fast, simple, and powerful document-based QA.

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demo-app-leocdp

A demo web app to test tracking user with React.js and LEO CDP

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leo-bot

LEO BOT: the AI for Chatbot, Marketing Automation and Personalization Engine

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self-learning-notes

My note for self-learning code and any cool ideas

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Agent-E

Agent driven automation starting with the web. Try it: https://www.emergence.ai/web-automation-api

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ai-engineering-hub

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

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ai-knowledge-graph

AI Powered Knowledge Graph Generator

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aurora-postgresql-pgvector

Leverage pgvector and Amazon Aurora PostgreSQL for Natural Language Processing, Chatbots and Sentiment Analysis

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awesome-llm-apps

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

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beha2vec

User behavior analysis by leveraging transformer-based models

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business-rules

Python DSL for setting up business intelligence rules that can be configured without code

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chat-with-documents

Chat With Documents is a Streamlit application designed to facilitate interactive, context-aware conversations with large language models (LLMs) by leveraging Retrieval-Augmented Generation (RAG). Users can upload documents or provide URLs, and the app indexes the content using a vector store called Chroma to supply relevant context during chats.

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code-to-learn-AI

Code to go with articles

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complex-rag-guide

A step by step implementation of a complex RAG pipeline to solve real world situations

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computational-finance-python

Introduction to Computation Finance in Python

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fastapi-genai-lambda

Gen API using Fast API that can run in AWS Lambda

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fastapi-langgraph-agent-production

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

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KG-Pipeline

Converting Unstructured Data to a Knowledge Graph: An End-to-End Pipeline

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leo-platform-dockers

code for shellscript and powerscript to start dockers of LEO CDP and LEO Chatbot

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LLM-engineer-handbook

A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.

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LLM-PDF-Chatbot-with-Deepseek-v3

This project is a web-based PDF question-answering chatbot powered by LangChain, and Deepseek v3's Language Learning Models (LLMs). Users can upload PDFs, ask questions related to the uploaded documents, and receive accurate responses. Use the link below to try it out!

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scraping-reviews-from-googlemaps

This is a simple script with python to scrap Google Maps reviews and ratings.

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simple-superset-compose

A super-minimal Docker Compose template for Apache Superset.

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Text2SQl-Agent-with-Long-Term-Memory

https://medium.com/data-science-collective/building-a-text2sql-agent-with-long-term-memory-a-production-grade-architecture-for-user-memory-9d6fc3509e92

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