AChat.dev is a developer-centric platform that allows users to create, test and deploy AI chat agents with advanced capabilities. It supports persistent conversation memory so agents remember past interactions, dynamic function calls to external APIs for real-time data retrieval, and role-based multi-agent collaboration. Built on Python and Node.js SDKs, it includes templating for quick setup, plugin architecture for extensibility, and monitoring dashboards to track agent performance. AChat.dev ensures GDPR-compliant data handling and can scale across cloud and on-premise environments.

ChatThing.ai facilitates the creation of AI chatbots by leveraging your existing data. It's an easy and efficient solution designed to help businesses and individuals develop chatbots that can handle tasks such as customer support, data retrieval, and more. Users can integrate data from various sources like PDFs, websites, and Google Docs to train their chatbots. The platform also supports embedding chatbots on websites for real-time assistance, offering a broad range of applications from customer service to personal tutoring.

DelphiGemini provides a lightweight, easy-to-use wrapper around Google’s Gemini LLM API for Delphi developers. It handles authentication, request formatting, and response parsing, allowing you to send prompts and receive text completions or chat responses. With support for streaming output, you can display tokens in real time. The library also offers synchronous and asynchronous methods, configurable timeouts, and detailed error reporting. Use it to build chatbots, content generators, translators, summarizers, or any AI-powered feature directly in your Delphi applications.

GyataGPT is an advanced AI platform for developing enterprise-grade conversational applications. It provides a self-hosted, cloud-native solution hosted within your AWS or Azure cloud. By integrating 30+ data sources such as Salesforce and Excel, you can create intelligent chatbots and efficient customer helpdesks. Leveraging AI engines from OpenAI, Amazon Bedrock, or Azure OpenAI Service, GyataGPT ensures powerful user interactions while maintaining strict data security and compliance.

ragChatbot is a developer-centric framework designed to streamline the creation of Retrieval-Augmented Generation chatbots. It integrates LangChain pipelines with OpenAI or other LLM APIs to process queries against custom document corpora. Users can upload files in various formats (PDF, DOCX, TXT), automatically extract text, and compute embeddings using popular models. The framework supports multiple vector stores such as FAISS, Chroma, and Pinecone for efficient similarity search. It features a conversational memory layer for multi-turn interactions and a modular architecture for customizing prompt templates and retrieval strategies. With a simple CLI or web interface, you can ingest data, configure search parameters, and launch a chat server to answer user questions with contextual relevance and accuracy.