lettria

Browser AI assistant for reading, analyzing, and generating text within web pages

An AI community platform sharing real-world cases and industry insights to foster collaboration.

An AI-powered document and knowledge management platform that integrates WeChat Official Accounts and web content, supporting local file processing and personal knowledge storage.

Enterprise AI chatbot platform trained and deployed on your proprietary data for Q&A bots

A large language model platform supporting multilingual text generation, speech recognition, and multimodal interaction

A knowledge management tool that saves and connects multi-source content, supporting spaced repetition and active recall.

Recall is an advanced AI-powered platform designed to transform scattered online information into a self-organizing, interconnected knowledge base. Users can save, summarize, and interact with diverse content from sources such as YouTube videos, articles, and PDFs. The platform automatically categorizes and connects saved content, generating a dynamic knowledge graph that enhances content rediscovery and comprehension. With enhanced browsing, spaced repetition, and active recall features, Recall not only helps users capture key information but also strengthens long-term memory retention. Built with a local-first architecture, the application ensures privacy and data security, while supporting cloud backup and full data export.

Onyx is an open-source AI platform designed for the workplace. It integrates with a company's existing applications and knowledge bases to deliver reliable and accurate answers. The system leverages hybrid search, advanced RAG, and context-aware retrieval techniques to ground responses in verified corporate data. As a highly customizable and transparent platform, Onyx can be deployed on any infrastructure, giving organizations full control over their data and AI usage.

Petal streamlines document management by allowing users to upload, store, and interact with their documents in a secure cloud environment. The platform supports technical, scientific, and general documents, offering features such as conversational document Q&A, automatic metadata extraction, and file deduplication. Petal enhances team productivity through collaborative annotation tools and shareable links, making it easier to highlight, comment, and share knowledge. Its context-aware system ensures users receive reliable, fully sourced answers directly from their own documents—particularly valuable for researchers, scholars, and professionals who rely on accurate information and efficient workflows.

IamIP is a powerful patent management platform designed to streamline intellectual property workflows for global companies and law firms. It offers real-time monitoring and analysis of global patent applications, enabling users to access a vast patent database through advanced search capabilities and multilingual support. The platform facilitates secure collaboration, customizable workflows, and centralized document management, helping users make informed decisions, mitigate risks, and accelerate innovation.

IKI.AI is a knowledge management tool designed to help users capture, organize, and synthesize information from various formats such as PDFs, web links, videos, and more. It transforms scattered data into a searchable digital library, enhanced with AI-powered capabilities that can answer questions, summarize content, and generate reports. The platform supports team collaboration through shared collections and secure access, making it suitable for professionals in education, enterprise, healthcare, and media industries.

RLAMA is a powerful AI platform designed for building, managing, and interactively using Retrieval-Augmented Generation (RAG) systems in document-based question-answering scenarios. The system runs entirely locally, with all documents and embeddings processed directly on the user's device, ensuring privacy and data security. RLAMA supports multiple document formats and advanced semantic chunking strategies to optimize context retrieval performance. It seamlessly integrates with local Ollama models and the Hugging Face model library, offering flexible AI capability selection. Additionally, RLAMA supports web scraping, directory monitoring, and HTTP API functionality, enabling automation and easy integration. With cross-platform support for macOS, Linux, and Windows, RLAMA is ideal for developers and enterprise use.