Build AI Knowledge Base & Generate Cited Answers Instantly
Generate precise, cited answers to complex queries from a custom knowledge base in seconds, reducing research time by over 90% and ensuring factual accuracy.
Manual document analysis and answering specific questions with accurate citations from large text sources is time-consuming and prone to errors. This workflow automates content ingestion into a Milvus vector database and provides an AI-powered chat interface to retrieve precise, cited answers instantly, enhancing accuracy and reducing research time.
Documentation
AI-Powered Knowledge Base & Cited Q&A with Milvus
This n8n workflow empowers you to transform raw text data, like essays or articles, into an intelligent knowledge base. By integrating web scraping with Milvus and advanced AI models, it enables instant, accurate, and cited answers to any query you pose.
Key Features
- Effortless content scraping from web pages (e.g., Paul Graham essays).
- Automated text processing and chunking for optimal AI comprehension.
- Seamless integration with Milvus for efficient vector storage and retrieval.
- AI-driven question answering based on your custom knowledge base.
- Automatic generation of precise citations for factual verification.
- Interactive chat interface for quick and easy information access.
How It Works
This n8n workflow operates in two main phases: data ingestion and AI-powered retrieval. First, it scrapes article links from a specified URL, fetches the full text of each article, and processes them into manageable chunks. These chunks are then embedded using OpenAI and stored in a Milvus vector database. Second, upon receiving a chat message, it generates an embedding for the query, retrieves the most relevant document chunks from Milvus, and feeds them to an OpenAI chat model to formulate an accurate answer with accompanying citations.