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Traditional knowledge bases are passive repositories. You put documents in, and you search for them later. Refly reimagines this with an AI-native approach where every document is an active knowledge resource that the system understands, connects, and can reason about.
Built by refly-ai, this platform combines document management with LLM-powered question answering, contextual search, and knowledge graph visualization. Documents are automatically analyzed, entities are extracted, connections between topics are discovered, and users can ask natural language questions that draw on the full knowledge base.
Core Capabilities
| Feature | Description |
|---|---|
| AI document understanding | Automatic entity extraction, summarization, and classification |
| Contextual Q&A | Ask questions in natural language, get answers grounded in your documents |
| Knowledge graph | Visual exploration of document relationships and topics |
| Collection management | Organize documents into themed collections |
| Collaboration | Share knowledge bases and work together in real-time |
Knowledge Processing Pipeline
flowchart LR
A[Documents] --> B[Document Ingestion]
B --> C[Content Analysis]
C --> D[Entity Extraction]
C --> E[Embedding Generation]
D --> F[Knowledge Graph]
E --> G[Vector Index]
G --> H[Semantic Search]
F --> H
F --> I[Graph Visualization]
J[User Query] --> H
H --> K[Context Assembly]
K --> L[LLM Answer Generation]
L --> M[Answer + Sources]When documents are ingested, they are analyzed for entities and relationships that build a knowledge graph while embeddings power semantic search. Queries retrieve relevant context from both the vector index and knowledge graph, and the LLM generates answers grounded in the retrieved sources.
Performance Comparison
| Capability | Refly | Confluence | Notion AI | Standard RAG |
|---|---|---|---|---|
| Knowledge graph | Native | No | No | No |
| Entity extraction | Automatic | Manual only | Basic | Optional |
| Contextual Q&A | Excellent | Poor | Good | Good |
| Self-hosted | Yes | No | No | Yes |
| Open source | Yes (AGPL) | No | No | Yes |
For more information, visit the Refly GitHub repository and the Refly documentation.
Frequently Asked Questions
Q: What document formats does Refly support? A: Markdown, PDF, plain text, HTML, and images (with OCR).
Q: Can I self-host Refly? A: Yes, Refly supports Docker-based self-hosting for full data control.
Q: What LLMs does Refly support? A: OpenAI, Anthropic, and any OpenAI-compatible API including local models.
Q: How does the knowledge graph handle large document sets? A: It uses incremental indexing and can handle millions of documents with proper infrastructure.
Q: Does Refly support real-time collaboration? A: Yes, multiple users can work on the same knowledge base simultaneously.
