This Is A Telegram Bot Created using OPENAI Api And Coded in Python

OneBot v11，群管，AI，娱乐，新一代QQ群机器人。

카카오톡 ChatGPT AI 챗봇 빌더

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit

Build Your Own AI Chatbot with Streamlit and Ollama: A Step-by-Step Tutorial

RAG Based LLM Chatbot Built using Open Source Stack (Llama 3.2 Model, BGE Embeddings, and Qdrant running locally within a Docker Container)

Pipeline LLMs offline combine with own context for generating answer

This Streamlit application creates an interactive Data Visualization Assistant that can understand Natural Language Queries and generate appropriate Visualizations using LLMs.

This is interesting AI-powered text/code editor. It has features of vs code, notepad and word. And now it can read PDF(currently in beta). It has assistant terminal, bash and GPT-4 (Llama3.2) model powered chatbot. Embrace the future. And now for everyone! And now on Linux! Now with text summary feature (long story short).

Unlock the power of LangGraph v0.5.3 with 20 bite‑sized, beginner‑friendly agent projects—from chatbots and finance bots to multi-agent orchestrations. Developed by HERE AND NOW AI, this hands‑on tutorial delivers up‑to‑date Python code, practical business value, and scalable workflows built for today and beyond.

This is a source code to build a Telegram bot using OpenAI bot and Python. The bot is capable of understanding natural language and providing information on various topics.

This is a LLM model, where it is tuned to help the farmers for clarifying their doubts about organic farming, with personalised suggestions.

Chatbot using Llama3 and Streamlit

A chatbot web application built with Streamlit and Groq AI, featuring customizable personas and conversation memory, allowing users to interact with an AI in different styles.

Assistente pessoal para Linux

A simple PyQt5 UI for editing TavernAI character cards

AI Local Chat Bot is an AI-powered chat assistant like ChatGPT running locally, safely and privately using n8n for workflow orchestration, Qdrant for vector storage, and Ollama for running local LLMs. It also includes helper scripts for downloading and processing Confluence pages as PDFs.

Chat with your PDFs using PDFPal! Built with Streamlit, LangChain, Amazon Bedrock, and S3, this app lets you upload, process, and interact with PDF content using RAG-powered chat. Includes admin and user interfaces, vector storage, and Docker support.

Meet Albert: Your Lively and Intelligent Chat Companion on telegram! 🤖✨

🐍Console.py🐍 with PyQt6&PyQt5 CMD PYTHON AI Chat