Yinadoc: Our Product Capabilities
Yinadoc is packed with advanced AI capabilities designed to streamline your operations and empower your team.
An automated ingestion pipeline streamlines document extraction, intelligent classification, and summarization. The content is then transformed into semantic embeddings and indexed into a vector database, enabling high-performance semantic retrieval and downstream QA tasks.
The system is built on Elasticsearch, offering a powerful and scalable search engine that supports both full-text keyword search and semantic vector-based retrieval, delivering exceptional accuracy and speed.
Supports both single and batch document uploads (grouped logically), along with flexible classification and tagging features. Full-text and semantic search are integrated, with built-in document preview and download functionality for efficient knowledge management.
The system leverages the Qwen2.5-7B large language model to implement Retrieval-Augmented Generation (RAG), allowing users to retrieve relevant documents and generate accurate, context-aware answers. This enables organizations to transform internal documents into actionable knowledge assets that truly empower business operations.Additionally, the system allows easy integration with other self-hosted LLMs tailored to specific industry requirements.
A built-in chatbot engine directly connects to locally deployed LLMs, enabling natural language queries and instant responses—offering an immersive and intelligent enterprise knowledge assistant experience.
Equipped with fine-grained permission management and enterprise-level security features, the system ensures the confidentiality of sensitive content. Access control can be defined based on user roles, organizational structure, and other dimensions to safeguard corporate knowledge assets.