Our Core Tech Stack: The Roots of Our Solutions
Our infrastructure is carefully selected and integrated to provide a powerful and flexible environment for all our endeavors.
🖥️ Server & Application Infrastructure
Open WebUI (Primary UX) is our primary user experience layer to ensure intuitive and accessible interactions across our applications.
Nginx provides high-performance web serving, reverse proxying, and load balancing, guaranteeing speed and reliability.
LiteLLM streamlines our interactions with various large language models, providing a unified and efficient API layer.
Ollama provides efficient local deployment and management of open-source language models.
Neo4j (Graph DB), the graph database that powers complex relationships and sophisticated data analysis, enabling advanced insights, especially for graph-based RAG systems.
PostgreSQL (Database), a dependable relational database for structured data management, ensuring data integrity and robust storage.
Chroma serves as our vector database, optimized for efficient storage and retrieval of embeddings for our RAG systems.
n8n as a powerful workflow automation tool that orchestrates complex processes and integrations across our stack, enhancing efficiency and connectivity.
Langflow provides a visual interface for building and deploying complex LLM applications, accelerating development and iteration.
Various MCP Servers provide reliable and scalable computational resources, adaptable to various project needs.
🧠 AI & Large Language Models (LLMs)
We harness the power of both open and closed-source LLMs to drive intelligent decision-making and dynamic interactions:
Open-Source LLMs: Including models like Llama, enabling flexible and customizable AI solutions.
Closed-Source LLMs: Integrating advanced models such as Gemini 2.5, OpenAI GPT-4, and Mistral OCR for powerful and precise language and vision capabilities.
🗣️ Advanced Retrieval-Augmented Generation (RAG) Systems
Our RAG systems are designed for highly accurate and context-aware information retrieval:
Multilingual Embeddings: We utilize cutting-edge models like BGE-M3 for robust multilingual embeddings, allowing us to build RAG systems that understand and process information across various languages.
Open WebUI Integrations: Our RAG solutions are seamlessly integrated with Open WebUI, offering both standardized and customized experiences.
Graph-based RAG with Neo4j: By leveraging Neo4j, we build sophisticated graph-based RAG systems that can traverse complex relationships within data, leading to more nuanced and precise information retrieval.
🌐 Decentralized Autonomous Organizations (DAOs): Our Foundational Philosophy
The principles of DAOs are woven into the very fabric of our projects, reflecting our commitment to decentralization, community governance, and trust. We are implementing the technical core concepts of a DAO system in all our projects, including:
Token Economy: Creating sustainable and incentivized ecosystems.
Governance System: Empowering collective decision-making and transparent operations.
Reputation/Competence System: Fostering meritocratic contributions and recognizing expertise within the community.
DAOs leverage smart contracts and blockchain technology to create trustless systems, promote a contribution-led model, and reputation economics where value is captured through participation. This enables us to bypass traditional hierarchical structures in favor of collective ownership and decision-making.
