我们构建什么
Agentic AI 与生成式智能方案
将前沿的自主智能体（AI Agents）与 RAG 检索增强系统无缝接入您的产品。
Custom AI Agents
Autonomous agents utilizing OpenAI and Claude SDKs to perceive, decide, and act via structured tool calling.
RAG Architectures
High-performance retrieval systems using Qdrant vector search and advanced vectorless indexing.
Mobile AI Applications
Cross-platform React Native and Expo apps with real-time AI chat, fully integrated with RevenueCat for monetization.
Memory & Ecosystems
Persistent agent memory (Mem0, Neo4j) and Model Context Protocol (MCP) integrations.
Streaming AI Experiences
Full-stack real-time streaming with markdown rendering, token counting, and database persistence.
Production Ingestion
Queue-based background workers for safely processing PDFs, HTML, and Markdown at scale.
技术栈
Built with the TypeScript AI Ecosystem
AI Models & SDKs
- OpenAI
- Anthropic Claude
- Gemini
- Ollama
Data & Memory
- Qdrant
- Neo4j
- Mem0
- Vectorless RAG
Mobile & Monetization
- React Native
- Expo
- RevenueCat
- Node.js
为什么选择我们
为什么选择 Fusion Labs
TypeScript Native
基于 TypeScript 和 JavaScript 原生打造，与现有技术栈完美兼容。
Cross-Platform Expertise
精通 Qdrant 向量检索、无向量索引及企业级知识库记忆架构。
Future-Proof AI
面向未来的前沿设计，全面支持模型上下文协议 (MCP) 与实时流式渲染。