AI+Reading

• E-book: Supports EPUB, MOBI, AZW3, PDF and other formats of e-books;

• Read:
AI reading assistant: such as AI query, English Chinese dictionary, ancient Chinese dictionary, etc;
AI listening to books.

• Book excerpt, book list.

AI+Notes

• AI Empowerment:
Supports EPUB, MOBI, AZW3, PDF and other formats of e-books;
Generate notes directly from AI conversations.

• Notion style

• Multimedia support: images, videos, audio, 3D models, etc;

• Rich component library: tables, code blocks, references, highlight blocks, etc;

• Markdown support.

Knowledge Database

• Document management: importing or uploading documents to the knowledge base;

• Analysis: Perform block slicing and other processing on the document.

• Recall test: Test the recall effect of knowledge based on the given query text.

RAG Support

Dynamically retrieve relevant information from the knowledge base to enable LLM to generate more accurate and reliable answers

• Embedded models: OpenAI Embeddings, Sentence BERT, etc

• Vector databases: LanceDB, Chroma, Pinecone, Milvus, etc.

• Recall test: Test the recall effect of knowledge based on the given query text.

Chat Assistant

Build a chatbot based on LLM and knowledge base, and provide flexible settings

• Chat Assistant Market: We will provide commonly used chat assistants for different application scenarios, ready to use out of the box.

• Create a chat assistant:
Basic settings: Name, avatar TTS, And knowledge base, etc;
Support prompt word engineering: system messages (defining roles, task instructions, output formats), reasoning, etc;
Support model parameter settings: AI provider, model, as well as temperature, top_p, etc.

AI Agent

Intelligent assistant with reasoning and autonomous tool invocation

• Intelligent agent template: will provide commonly used intelligent agent templates

• Create intelligent agent:
Basic settings: Name, avatar TTS, And knowledge base, etc;
Support prompt word engineering: system messages (defining roles, task instructions, output formats), inference, variables, tools, iteration times, etc;
Support model parameter settings: model provider, model, as well as temperature, top_p, etc.