The AI knowledge base is not an upgraded search box or a digital filing cabinet filled with documents, but an intelligent knowledge core with perception, thinking, and evolution capabilities. FastGPT, an open-source knowledge base question answering system based on the Large Language Model (LLM), can not only understand questions, but also insight intentions, actively connect scattered knowledge fragments, extract deep insights, and even anticipate requirements.
Based on RAG (Retrieval Enhanced Generative) technology, FastGPT intelligently combines enterprise private data with Large Language Models (LLMs) to achieve secure, accurate, and traceable industry level knowledge applications.
·Understand the meaning and accurately locate the content of the document, generate accurate answers, and mark the reference source (such as specific document paragraphs) when generating answers to ensure the credibility of the information and traceability of the results.
·Traditional fine-tuning requires annotating data and computing power, while RAG only needs to upload enterprise documents (PDF/Word/database, etc.) and automatically build vector indexes; And it has an open source free version and a low-cost customized domain specific knowledge base.
·The private knowledge inventory is stored in the customer's intranet, and LLM only receives retrieved desensitized text fragments. The data is separated from the model to ensure the security and controllability of sensitive data.
In the latest version 4.9.6 released by FastGPT, the creation and invocation of MCP tools are fully supported. The MCP protocol is like a '; Universal Interface "; Enable the model to efficiently and securely interact with external resources.
For example, FastGPT can automatically call the map software MCP tool to generate a clear table format travel guide. For example, if you encounter problems in the private deployment of FastGPT, you can directly use fetch MCP to read the official website document and make it a dedicated FastGPT assistant to provide accurate solutions.
As a strategic partner of FastGPT, Qimo Technology provides enterprises with; Product+Service; Dual engine deployment support. Based on the powerful functional advantages of FastGPT and the actual business scenario requirements of enterprises, Qimo Technology provides customized full chain deployment and landing application training services for FastGPT, helping enterprises innovate business development and accelerate the efficiency revolution of enterprise knowledge management.
Is one FastGPT not enough? Combining Kymo development management suite to create personalized enterprise level AI agents. Without the need for complex code, employees from every department of the enterprise can easily build personalized workflows, AI agents, and various software links based on their own business needs in a simple visual workbench.
Through the MCP protocol, FastGPT greatly expands the capability boundaries of AI applications; Kymo enables enterprises to quickly access the construction and implementation of AI intelligent agents with low code and low cost. By using FastGPT to build an exclusive knowledge base for enterprises and Kymo to develop AI agents, enterprises can use the exclusive knowledge base and AI agents to achieve automated task execution, such as implementing scenario based applications such as AI recruitment assistants, AI customer service assistants, AI marketing assistants, etc.
Breaking boundaries and collaborating across platforms. FastGPT+Kymo， Enable enterprises to fully enjoy a powerful knowledge base and low-cost intelligent agent development platform; Enable enterprises to develop and manage AI intelligent agents that better meet the needs of strategic leadership, management planning, business innovation, and other aspects at lower costs; Let AI technology play a core role in the production chain of enterprises.
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