Introduction
Knowledge in Dify is a collection of your own data that can be integrated into your AI apps. It allows you to provide LLMs with domain-specific information as context, ensuring their responses are more accurate, relevant, and less prone to hallucinations. This is made possible through Retrieval-Augmented Generation (RAG). It means that instead of relying solely on its pre-trained public data, the LLM uses your custom knowledge as an additional source of truth:- (Retrieval) When a user asks a question, the system first retrieves the most relevant information from the incorporated knowledge.
- (Augmented) This retrieved information is then combined with the user’s original query and sent to the LLM as augmented context.
- (Generation) The LLM uses this context to generate a more precise answer.
Build with Knowledge
With Dify knowledge, you can build AI apps that are grounded in your own data and domain-specific expertise. Here are some common use cases:- Customer support chatbots: Build smarter support bots that provide accurate answers from your up-to-date product documentation, FAQs, and troubleshooting guides.
- Internal knowledge portals: Build AI-powered search and Q&A systems for employees to quickly access company policies and procedures.
- Content generation tools: Build intelligent writing tools that generate reports, articles, or emails based on specific background materials.
- Research & analysis applications: Build applications that assist in research by retrieving and summarizing information from specific knowledge repositories like academic papers, market reports, or legal documents.
Create Knowledge
- Quick create: Import data, define processing rules, and let Dify handle the rest. Fast and beginner-friendly.
- Create from a knowledge pipeline: Orchestrate more complex, flexible data processing workflows with custom steps and various plugins.
- Connect to an external knowledge base: Sync directly from external knowledge bases via APIs to leverage existing data without migration.
Manage & Optimize Knowledge
- Manage content: View, add, modify, or delete documents and chunks to keep your knowledge current, accurate, and retrieval-ready.
- Test and validate retrieval: Simulate user queries to test how well your knowledge base retrieves relevant information.
- Enhance retrieval with metadata: Add metadata to documents to enable filter-based searches and further improve retrieval precision.
- Adjust knowledge base settings: Modify the index method, embedding model, and retrieval strategy at any time.
Use Knowledge
Integrate into applications: Ground your AI app in your own knowledge.Read More:
- Dify v1.1.0: Filtering Knowledge Retrieval with Customized Metadata
- Dify v0.15.0: Introducing Parent-child Retrieval for Enhanced Knowledge
- Introducing Hybrid Search and Rerank to Improve the Retrieval Accuracy of the RAG System
- Dify.AI’s New Dataset Feature Enhancements: Citations and Attributions
- Text Embedding: Basic Concepts and Implementation Principles
- Enhance Dify RAG with InfraNodus: Expand Your LLM’s Context
- Dify.AI x Jina AI: Dify now Integrates Jina Embedding Model