Dify Blog6565Dify.AI integrates the Jina Embeddings model into its platform, which supports a context length of 8,192 tokens, surpassing most open-source models that only support 512 tokens.
Dify BlogDify offers features such as self-hosted deployment, multi-model support, RAG engines, and APIs, providing more flexibility to address challenges with the OpenAI Assistants API in terms of cost, data security, and model selection. Its self-hosted deployment strategy ensures data privacy and security, compatible with commercial and open-source models like OpenAI, Anthropic, and Llama2. The RAG engine supports integration with vector databases like Qdrant and Weaviate, allowing users to customize indexing strategies.
Dify BlogDify.AI v0.3.31 update enhances RAG technology through hybrid search, semantic reordering models, and multi-path retrieval, improving question-answering efficiency by 20%, significantly outperforming the OpenAI Assistants API. Ragas evaluation shows an increase of 18.44% in Ragas score, 20% improvement in context accuracy, and 35.71% increase in faithfulness.
Dify Blog4040Dify v0.3.30 is released, adding GPT4-Vision multimodal model functionality. This model supports building agents through chat, automatically generating reusable skills while preserving conversation context for workflow integration. Dify also launches the CLI tool difyctl and the creator center and template market.
Dify BlogDify.AI v0.3.29 version adds support for OpenAI GPT-4 Turbo (128K context) and GPT-4 Vision models, and introduces external data API tools and sensitive content review features.
Dify Blog6565Dify.AI has released a new prompt orchestration mode, allowing users to switch from basic mode to expert mode for greater control. The expert mode is designed for professional developers and prompt engineers, supporting highly customizable orchestration, enabling editing of prompt elements such as context, user input, conversation history, and examples to achieve robust interaction with LLMs or datasets. The basic mode simplifies application creation, while the expert mode provides more configuration options, such as CHAT and COMPLETE models, and supports API calls to external tools.
Dify Blog3535Dify has released an update to its dataset management tool, introducing the 'Citation and Attribution' feature and a user-friendly interface, while expanding Dataset API support for multiple file formats and real-time data management. New features include creating empty datasets, document list queries, text/file imports, embedded model integration, and GPT-3.5-turbo-instruct integration, enhancing data management efficiency and interaction experience.
Dify Blog6565Dify v0.3.13 released, integrating open-source large models like Llama2 and ChatGLM, supporting models from Hugging Face and Replicate platforms, allowing users to easily access and quickly build AI applications via API keys. The platform supports rapid switching between models, enabling users to compare performance by clicking the model selector, lowering the barrier for model selection and tuning.
Dify Blog6565Dify V0.3.12 released, enhancing data retrieval accuracy through Q&A segment matching mode and introducing Chat functionality for online interaction; supports reasoning models such as GPT-3.5, GPT-4, and Claude 2, with plugins developed and optimized by the Dify team.
Dify BlogDify V0.3.9 integrates Anthropic's Claude2 and Claude-instant models, supporting ultra-long context conversations up to 100K tokens. Users can quickly embed AI applications on web pages to create personalized official website customer service. Registration grants 1000 message credits.
Dify Blog6565Dify Launches Dify WebApp, allowing users to quickly combine and deploy cloud-native AI applications without managing infrastructure. The platform offers two types of WebApps: conversational and text generation, respectively designed for building interactive experiences and content generation tasks. Users can deploy via GitHub repositories or self-hosted servers, and leverage open-source templates for lightweight or heavy customization development, integrating Dify's visual orchestration, operational, and dataset capabilities.
Dify Blog6565Dify is dedicated to making AI technology more accessible, created to address the complex challenges developers face when using OpenAI's large language models to build AI applications, such as the difficulty of data preparation and model fine-tuning; the platform simplifies LLM application development and operations through a visual interface, unified API, and open-source strategy, and continuously integrates cutting-edge technologies like agent patterns and ChatGPT plugins.
Dify Blog6565Dify's dataset features simplify the process of integrating proprietary data with LLMs, enabling developers to build smarter, more professional AI solutions. By preprocessing and transforming raw data, fine-tuning LLMs on specific domain knowledge, and centrally managing datasets, Dify supports the creation of customized AI applications, enhances model performance, and accelerates model adaptation.
