Best of Bots — June 2024

  1. 1
    Article
    Avatar of communityCommunity Picks·2y

    an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision/TTS) and plugin

    LobeChat is an open-source AI chat framework supporting multiple AI providers (e.g., OpenAI, Claude 3, Gemini), and multi-modal capabilities like vision and text-to-speech. It offers features like one-click deployment, plugin system, mobile adaptation, custom themes, and multi-user management. It supports local and server-side databases, ensuring flexibility and privacy. The platform also introduces an agent marketplace for sharing and discovering AI agents.

  2. 2
    Article
    Avatar of devtoDEV·2y

    I built my first SaaS - NotiFast

    NotiFast is a versatile notification bot designed to alert users about changes on websites they follow, such as new items or content updates. Built on the Discord platform, it offers seamless notifications without requiring user authentication and integrates easily with Discord's payment system. Initially derived from the open-source project webscraper-bot, NotiFast aims to simplify webpage monitoring with an easy-to-use visual creator. A free beta is currently available for the first 100 users.

  3. 3
    Article
    Avatar of devtoDEV·2y

    Get Roast if task is uncompleted

    An AI Roasting bot and to-do list platform motivates users to complete their tasks with humor, using Twilio's API and Google's Gemini API. This bot generates funny, tailored roast messages based on user-submitted goals and sends periodic roasting reminders until tasks are completed.

  4. 4
    Article
    Avatar of devsquadDev Squad·2y

    Lobe Chat - Open Source Private ChatGPT for Teams

    Lobe Chat by LobeHub is a versatile conversational AI tool designed to manage smart chatbots easily. It offers cost efficiency, team collaboration, centralized management, seamless integration, and customizable solutions. The tool also boasts user-friendly interfaces, cross-platform compatibility, scalable architecture, insightful analytics, and enhanced security. Comprehensive documentation and continuous improvement make Lobe Chat a robust option for developing high-performing chatbots.

  5. 5
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Build a RAG Chatbot with Agent Cloud and Google Sheets

    Learn how to build a Retrieval-Augmented Generation (RAG) chatbot using Agent Cloud and Google Sheets. Understand the complexities of setting up RAG chat applications and how Agent Cloud simplifies the process through automated data retrieval, natural language processing, and scalable infrastructure. This guide covers everything from setting up Agent Cloud via Docker, adding models, creating a Google Cloud Platform service account key, enabling the Google Sheets API, and building an interactive chat application to communicate with data sourced from Google Sheets.

  6. 6
    Article
    Avatar of gopenaiGoPenAI·2y

    Building a Multi PDF RAG Chatbot: Langchain, Streamlit with code

    This post provides a step-by-step breakdown of how to build a Multi PDF RAG Chatbot using Langchain and Streamlit. It covers the necessary tools, reading and processing PDF files, creating a searchable text database, setting up conversational AI using OpenAI, and user interaction through a user-friendly interface.

  7. 7
    Article
    Avatar of ds_centralData Science Central·2y

    Build your own chatbot and talk to your own documents

    An interview with Jans Aasman, CEO of Franz, Inc., discussing the evolution of AI, the advantages of using the semantic graph database approach, and the potential of composite AI in Allegrograph 8.2.

  8. 8
    Article
    Avatar of gopenaiGoPenAI·2y

    🚀 Revolutionizing Document Interaction: An AI-Powered PDF Text-2-Voice Chatbot Using LlamaIndex 🐑, Langchain 🔗 and Azure AI Speech 🔊

    The post delves into creating an AI-powered PDF Text-2-Voice chatbot using LangChain, LlamaIndex, and Azure AI Speech. The chatbot is designed to read out answers from the content in PDF documents. The technologies used include LangChain for chaining language models, LlamaIndex for document indexing, Azure AI Speech for speech synthesis, and Streamlit for the user interface. Detailed steps for setting up the environment, uploading files, vectorization, fetching data, and voice synthesis are provided. The end product is a Streamlit app where users can upload PDFs, ask questions, and receive voice responses.

  9. 9
    Article
    Avatar of gopenaiGoPenAI·2y

    🚀 Revolutionizing Document Interaction: An AI-Powered PDF Voice-2-Voice Chatbot Using LlamaIndex 🐑, Langchain 🔗 Azure AI Speech 🎤and Google Audio 🔊

    Experience a breakthrough in document interaction with an AI-driven PDF voice-2-voice chatbot. Utilizing LlamaIndex, Langchain, Azure AI Speech, and Google Audio, this advanced system allows for seamless verbal interactions with PDF documents, enhancing accessibility and usability. Learn about its evolution from text-based dialogue to voice-enabled functionalities and explore the technical components, including dependencies, document handling, and user interaction features.

  10. 10
    Article
    Avatar of vaadinVaadin·2y

    Building AI-Powered Java Applications

    Java developers are keen on integrating AI into their applications but often find it challenging due to time constraints and the steep learning curve. Enterprise applications benefit greatly from AI, as it can automate complex workflows. To help developers, the author created two application starters: a RAG-based business context-aware chatbot and a sentiment analysis tool for customer feedback, both built with Flow, LangChain4j, and Spring Boot. Ideas for further AI applications are welcomed.

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