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Fun with Large Models
Fun with Large Models
Aug 22, 2025 · Artificial Intelligence

Step‑by‑Step Guide: Building a PDF‑Based RAG Knowledge Base with LangChain, Streamlit, DashScope & DeepSeek

This tutorial shows how to create a lightweight Retrieval‑Augmented Generation (RAG) system that indexes multiple PDF files, stores their embeddings in a FAISS vector database, and answers user queries through a LangChain agent powered by DashScope embeddings and the DeepSeek‑Chat model, all wrapped in a Streamlit UI.

DashscopeDeepSeekFAISS
0 likes · 13 min read
Step‑by‑Step Guide: Building a PDF‑Based RAG Knowledge Base with LangChain, Streamlit, DashScope & DeepSeek
21CTO
21CTO
Aug 15, 2025 · Artificial Intelligence

Build a Working AI Agent in 5 Days: Guide with GPT, n8n, CrewAI & Streamlit

Learn how to create a functional AI agent from scratch in just five days by leveraging GPT for the brain, n8n for automation, CrewAI for multi‑agent orchestration, Cursor for code generation, and Streamlit for a user interface, complete with step‑by‑step instructions and ready‑to‑run Python code.

AI agentsCrewAIGPT
0 likes · 15 min read
Build a Working AI Agent in 5 Days: Guide with GPT, n8n, CrewAI & Streamlit
Software Development Quality
Software Development Quality
Jun 11, 2025 · Artificial Intelligence

AI-Driven Autogen_demo: Simplify Requirement Analysis & Test Case Creation

Autogen_demo, built with Streamlit and AI technologies, offers an end‑to‑end solution that parses PDF or Word requirements, stores them in a version‑controlled database, and automatically generates comprehensive functional, boundary, and exception test cases, exportable as Excel, Markdown, or JSON, boosting efficiency for developers, testers, and analysts.

AIAutomated TestingStreamlit
0 likes · 8 min read
AI-Driven Autogen_demo: Simplify Requirement Analysis & Test Case Creation
Qborfy AI
Qborfy AI
Jun 7, 2025 · Artificial Intelligence

Build a Retrieval‑Augmented Generation (RAG) Chatbot with LangChain and Streamlit

This guide walks through the complete process of creating a RAG‑powered question‑answering bot using LangChain, Streamlit, and vector‑store embeddings, covering theory, architecture, data loading, chunking, vector indexing, retrieval, LLM integration, and full code implementation with practical examples.

ChatbotLangChainPython
0 likes · 13 min read
Build a Retrieval‑Augmented Generation (RAG) Chatbot with LangChain and Streamlit
Python Programming Learning Circle
Python Programming Learning Circle
Feb 17, 2025 · Frontend Development

Eight Python GUI Libraries for Building Desktop Applications

This article introduces eight Python GUI frameworks—including Tkinter, PyQt5, PySimpleGUI, Kivy, wxPython, Toga, Dear PyGui, and Streamlit—explaining their features, providing code examples, and offering a small exercise to create a simple calculator, helping developers quickly build desktop apps.

KivyPythonStreamlit
0 likes · 9 min read
Eight Python GUI Libraries for Building Desktop Applications
AI Algorithm Path
AI Algorithm Path
Feb 13, 2025 · Artificial Intelligence

How to Build a Local RAG Knowledge Base with DeepSeek‑R1 and Ollama

This article walks through setting up a local Retrieval‑Augmented Generation (RAG) system using the open‑source DeepSeek‑R1 model run via Ollama, covering installation, model selection, PDF ingestion with LangChain, semantic chunking, FAISS vector store creation, RetrievalQA chain construction, and a Streamlit UI for querying.

DeepSeek-R1FAISSLangChain
0 likes · 8 min read
How to Build a Local RAG Knowledge Base with DeepSeek‑R1 and Ollama
Python Programming Learning Circle
Python Programming Learning Circle
Aug 23, 2024 · Artificial Intelligence

Getting Started with Python Generative AI: Six Practical Projects Using Llama 2, LangChain, Streamlit, Gradio, FastAPI and SQL

This article presents six hands‑on Python generative‑AI projects—ranging from a Llama 2 chatbot built with Streamlit and Replicate to natural‑language‑to‑SQL conversion using LlamaIndex and SQLAlchemy—complete with environment setup, required code snippets, deployment tips and resource links for further exploration.

FastAPIGradioLangChain
0 likes · 20 min read
Getting Started with Python Generative AI: Six Practical Projects Using Llama 2, LangChain, Streamlit, Gradio, FastAPI and SQL
Python Programming Learning Circle
Python Programming Learning Circle
Apr 26, 2024 · Artificial Intelligence

Five Essential Python Libraries for Machine Learning Engineers

This article introduces five essential Python libraries—MLflow, Streamlit, FastAPI, XGBoost, and ELI5—that every junior or intermediate machine‑learning engineer and data scientist should master to streamline experiment tracking, build interactive web apps, deploy models efficiently, achieve fast accurate predictions, and improve model interpretability.

ELI5FastAPIPython
0 likes · 8 min read
Five Essential Python Libraries for Machine Learning Engineers
Python Programming Learning Circle
Python Programming Learning Circle
Dec 21, 2023 · Artificial Intelligence

Introducing Streamlit: A Free Open‑Source Framework for Building Machine‑Learning Apps with Python

Streamlit is a free, open‑source Python framework that lets machine‑learning engineers quickly turn scripts into interactive web apps, featuring top‑to‑bottom script execution, widget‑as‑variable handling, caching, GPU support, and seamless integration with tools like Git.

App DevelopmentGPUPython
0 likes · 9 min read
Introducing Streamlit: A Free Open‑Source Framework for Building Machine‑Learning Apps with Python
MaGe Linux Operations
MaGe Linux Operations
Apr 19, 2023 · Frontend Development

Top Python Libraries to Turn Scripts into Stunning Web Apps

Explore a curated list of popular pure-Python libraries—including Streamlit, Gradio, Dash, Voila, and PyWebIO—that let you quickly transform data scripts into attractive, shareable web interfaces, complete with usage stats, recent updates, and visual examples.

DASHData visualizationGradio
0 likes · 4 min read
Top Python Libraries to Turn Scripts into Stunning Web Apps
Python Programming Learning Circle
Python Programming Learning Circle
Mar 1, 2023 · Artificial Intelligence

Introducing Streamlit: A Free Open‑Source Framework for Building Machine‑Learning Apps with Python

Streamlit is a free, open‑source Python framework that lets machine‑learning engineers quickly turn scripts into interactive apps, offering features such as top‑down script execution, widget‑as‑variable handling, caching, GPU support, and seamless integration with version‑control tools, all without requiring separate frontend development.

App DevelopmentData visualizationPython
0 likes · 9 min read
Introducing Streamlit: A Free Open‑Source Framework for Building Machine‑Learning Apps with Python
Python Programming Learning Circle
Python Programming Learning Circle
Jan 12, 2022 · Artificial Intelligence

Building a Streamlit Web Application for NLP Tasks: Sentiment Analysis, Entity Extraction, and Text Summarization

This tutorial demonstrates how to create a lightweight Streamlit web app in Python that lets users select and run common NLP services—sentiment analysis, named‑entity recognition, and text summarization—by integrating libraries such as TextBlob, spaCy, and Gensim, with clear code examples and visual output.

PythonStreamlitentity recognition
0 likes · 13 min read
Building a Streamlit Web Application for NLP Tasks: Sentiment Analysis, Entity Extraction, and Text Summarization
Python Crawling & Data Mining
Python Crawling & Data Mining
Dec 21, 2021 · Frontend Development

How to Build Interactive Machine‑Learning Web Apps with Streamlit: A Complete Guide

This tutorial explains how to install Streamlit, use its text, data, chart, and input components, manage layout, control flow, and caching, and demonstrates a full garbage‑classification web app that integrates a third‑party image‑recognition API, providing complete Python code examples.

Data visualizationStreamlitinteractive UI
0 likes · 15 min read
How to Build Interactive Machine‑Learning Web Apps with Streamlit: A Complete Guide
Python Programming Learning Circle
Python Programming Learning Circle
Jun 22, 2021 · Artificial Intelligence

Introducing Streamlit: A Python Framework for Building Machine Learning Apps

This article explains how Streamlit, a free open‑source Python framework, simplifies the creation of interactive machine‑learning applications by letting developers write pure Python scripts that automatically rerun on each interaction, cache results, and integrate seamlessly with existing tools and workflows.

App DevelopmentData visualizationStreamlit
0 likes · 8 min read
Introducing Streamlit: A Python Framework for Building Machine Learning Apps
Python Programming Learning Circle
Python Programming Learning Circle
Nov 3, 2019 · Artificial Intelligence

Build Machine Learning Apps in Minutes with Streamlit: A Python‑Only Guide

This article explains how machine‑learning engineers can create fully functional, interactive apps using only Python and the open‑source Streamlit framework, covering its core principles, widget handling, caching, GPU support, deployment workflow, and real‑world examples with code snippets and diagrams.

App DevelopmentData visualizationPython
0 likes · 9 min read
Build Machine Learning Apps in Minutes with Streamlit: A Python‑Only Guide