Best Retrieval-Augmented Generation (RAG) Software for Telegram

Graphlogic Conversational AI Platform consists of: Robotic Process Automation for Enterprises (RPA), Conversational AI, and Natural Language Understanding technology to create advanced chatbots and voicebots. It also includes Automatic Speech Recognition (ASR), Text-to-Speech solutions (TTS), and Retrieval Augmented Generation pipelines (RAGs) with Large Language Models. Key components: Conversational AI Platform - Natural Language understanding - Retrieval and augmented generation pipeline or RAG pipeline - Speech to Text Engine - Text-to-Speech Engine - Channels connectivity API Builder Visual Flow Builder Pro-active outreach conversations Conversational Analytics - Deploy anywhere (SaaS, Private Cloud, On-Premises). - Single-tenancy / multi-tenancy - Multiple language AI

FastGPT is a versatile, open-source AI knowledge base platform that streamlines data processing, model invocation, and retrieval-augmented generation, as well as visual AI workflows, empowering users to create sophisticated large language model applications with ease. Users can develop specialized AI assistants by training models using imported documents or Q&A pairs, accommodating a variety of formats such as Word, PDF, Excel, Markdown, and links from the web. Additionally, the platform automates essential data preprocessing tasks, including text refinement, vectorization, and QA segmentation, which significantly boosts overall efficiency. FastGPT features a user-friendly visual drag-and-drop interface that supports AI workflow orchestration, making it simpler to construct intricate workflows that might incorporate actions like database queries and inventory checks. Furthermore, it provides seamless API integration, allowing users to connect their existing GPT applications with popular platforms such as Discord, Slack, and Telegram, all while using OpenAI-aligned APIs. This comprehensive approach not only enhances user experience but also broadens the potential applications of AI technology in various domains.

Launch & train personalized AI-RAG Agents on Telegram. You can create RAG AI-powered personalized agents in minutes with scalerX, and they will be trained using your knowledge base. These AI agents can be integrated directly into Telegram including groups and channels. This is great for education, customer service, entertainment and sales. It also automates community moderation. Agents can act as chatbots for solo, groups, and channels. They support text-to text, text-to image, and voice. ACLs allow you to set up agent usage quotas, and permissions for authorized users. It's easy to train your agents: Create your agent, upload files to the bots knowledgebase, or auto-sync Dropbox, Google Drive, or scrape webpages.

Lightweight, fast, portable, and powered by Rust, our solution is designed to be compatible with OpenAI. We collaborate with cloud providers, particularly those specializing in edge cloud and CDN compute, to facilitate microservices tailored for web applications. Our solutions cater to a wide array of use cases, ranging from AI inference and database interactions to CRM systems, ecommerce, workflow management, and server-side rendering. Additionally, we integrate with streaming frameworks and databases to enable embedded serverless functions aimed at data filtering and analytics. These serverless functions can serve as database user-defined functions (UDFs) or be integrated into data ingestion processes and query result streams. With a focus on maximizing GPU utilization, our platform allows you to write once and deploy anywhere. In just five minutes, you can start utilizing the Llama 2 series of models directly on your device. One of the prominent methodologies for constructing AI agents with access to external knowledge bases is retrieval-augmented generation (RAG). Furthermore, you can easily create an HTTP microservice dedicated to image classification that operates YOLO and Mediapipe models at optimal GPU performance, showcasing our commitment to delivering efficient and powerful computing solutions. This capability opens the door for innovative applications in fields such as security, healthcare, and automatic content moderation.