Skip to content
Live
#Engineering
Mar 24Mon
  1. Dify Blog

    Agora's conversational AI extension has launched on the Dify market platform.

    Agora's conversational AI extension, as a plugin, has launched on the Dify market platform, providing developers with real-time voice AI capabilities. The extension supports multiple LLMs, featuring industry-leading speech-to-text and mainstream text-to-speech services, achieving rapid response and global reliability through Agora's low-latency SD-RTN™ technology. Developers can quickly deploy virtual assistants or customer service robots. The Dify market platform now hosts over 120+ plugins, supporting community sharing and local deployment.

Mar 13Thu
  1. Dify Blog65

    Dify.AI showcased AI innovation achievements at NVIDIA GTC 2025

    Dify.AI will attend the NVIDIA GTC conference from March 17 to 21, 2025, demonstrating the latest innovative achievements in Room 3226, including the plugin system, workflow mechanism, and NVIDIA NIM integration. The core of the company is to help developers define AI applications through prompts, context, and plugins. Version 1.0.0 introduced the plugin mechanism, workflow enhancements, and an open ecosystem.

Mar 6Thu
  1. Dify Blog

    Dify x Brave Search: Use the Brave Search API plugin to enhance real-time search functionality for AI applications.

    Dify v1.0.0 introduces a plugin system, allowing developers to easily integrate real-time search functionality through the Brave Search API plugin. Create smart agents or workflows in Dify Studio, choose models like Claude-3.5 Sonnet, and add the Brave Search tool to enable search. Deploy in workflows or integrate custom plugins to extend functionality.

Mar 4Tue
Feb 19Wed
Feb 7Fri
  1. Dify Blog

    How does Dify ensure the stable operation of DeepSeek-R1 applications?

    Dify provides three solutions to ensure the stable operation of DeepSeek-R1: official API integration supports multi-key load balancing; access Azure AI Foundry and other MaaS services as backups; locally deploy Ollama to meet privacy requirements. Through Dify, official API and MaaS can be switched between primary and backup to ensure that applications supporting 1000+ models remain online.

Feb 6Thu
  1. Dify Blog

    Dify x DeepSeek: Deploy private AI assistants and build local DeepSeek R1 + web search applications

    Dify combined with DeepSeek can deploy private AI assistants and build local DeepSeek R1 + web search applications. Dify supports deploying the DeepSeek R1:7B model (175B parameters), integrating web search and document analysis, providing support for 1000+ models, ensuring data is completely private. Manage DeepSeek models via Ollama and create chatbots or workflow applications on the Dify platform.

Jan 22Wed
Jan 9Thu
  1. Dify Blog

    Dify has released the Plugins plugin system to modularize component extensions to AI application capabilities.

    Dify has launched the Plugins plugin system into Beta, extending AI application functionality through plug-and-play components. Developers can obtain ready-made plugins or build their own on the Dify Marketplace, supporting capabilities such as image processing, audio analysis, text generation, data analysis, logical reasoning, and external integration. The system adopts a decoupled architecture, including five types of components: models, tools, strategies, extensions, and packages, achieving bidirectional communication with Dify's core functionality through custom endpoints.

Dec 16Mon
Nov 29Fri
  1. Prime Intellect Blog

    INTELLECT-1 Released: The First Global Jointly Trained 10B Parameter Model

    INTELLECT-1 is released, the first 10B parameter language model trained through global collaboration, based on the Llama-3 architecture, completing 1T token training on 112 H100 GPUs across 5 countries and 3 continents, with the PRIME framework achieving a 400x reduction in communication bandwidth, 96% computational utilization, supporting sequence lengths of 8192 and a vocabulary of 128256, with the model code and data open-sourced.

Nov 14Thu
  1. LangChain Blog

    Promptim: An experimental library for prompt optimization

    Promptim is an experimental prompt optimization library that automatically runs an optimization loop to generate better prompts by providing an initial prompt, a dataset, and a custom evaluator (optional human feedback). It integrates LangSmith for dataset management, prompt management, and result tracking (optional human annotation). The core algorithm modifies prompts based on evaluator feedback and iteratively optimizes, supporting human feedback loops. The tool aims to save manual prompt engineering time, introduce rigorous processes, and simplify model switching, but requires manual review.

Nov 5Tue
  1. Dify Blog65

    How Dify Enhances GPT-Researcher Through Parallel and Advanced Iterative Features

    Dify Workflow accelerates GPT-Researcher's research tasks through parallel mode and advanced iterative features, breaking down the problem into 4-6 independent sub-problems, parallel extracting topics to form subheadings, calling the Tavily API to search and analyze results, and finally integrating them into a structured report, significantly shortening research time and isolating error handling.

Oct 29Tue
  1. Dify Blog

    How Dify.AI empowers this global consumer electronics leader to integrate generative AI

    The global consumer electronics leader serving over 100 million users has integrated generative AI into its operations through Dify.AI, bridging the gap between business and technology. Dify.AI's low-code platform allows novice users to quickly utilize mainstream models, expert users to independently customize solutions, and developers to enhance efficiency through component-based workflows. More than 200 AI applications have been created within a month, with 60 in use, reducing user voice analysis time from 8 hours to 3 hours.

Oct 21Mon
Sep 10Tue
Aug 20Tue
  1. Dify Blog55

    Dify partnered with Takin.ai to provide a more convenient GenAI education platform

    Dify announced a collaboration with GenAI education startup Takin.ai, simplifying GenAI education through its integrated platform. It supports teachers and students in zero-setting learning various GenAI concepts and tools, and integrates a customized version of Dify into the Takin.ai system as the core feature for building AI agents and agent workflows.

Aug 14Wed
Jul 11Thu
  1. Prime Intellect Blog

    OpenDiLoCo: An open-source global distributed low-communication training framework

    OpenDiLoCo successfully replicated and extended DeepMind's DiLoCo experiment to a 10B parameter model scale, achieving cross-continent, three-country distributed training through Hivemind and PyTorch FSDP, maintaining 90-95% computational resource utilization. The framework is based on the open-source implementation of Hivemind, supporting dynamic resource joining/leaving and fault-tolerant training, significantly reducing communication requirements by 500x while maintaining performance on 1.5B parameter models.

Jul 2Tue
  1. Dify Blog65

    Dify Integrates LangSmith and Langfuse to Enhance LLM Application Observability

    Dify version 0.6.12 integrates LangSmith and Langfuse, allowing users to access detailed data of LLM applications through simple configuration, facilitating cost, latency, and quality evaluation. LangSmith provides rich evaluation features, and Langfuse supports open-source hosted architecture, both helping Dify users monitor and optimize LLM application performance.

Jul 1Mon
  1. Prime Intellect Blog

    Prime Intellect Compute platform officially launched: Global GPU resource aggregation and scheduling market

    Prime Intellect Compute platform officially launched, aggregating global GPU resources to democratize instant computing. The platform offers a unified resource pool, supporting instant access from single GPU to 512+ GPU clusters. The first batch integrates 12 cloud service providers, with H100 GPUs priced at $1.5-4 per hour.

Jun 17Mon
Jun 5Wed
  1. Dify Blog65

    Dify vs. LangChain comparison analysis

    Dify.AI and LangChain are two popular AI application construction tools. Dify.AI enables non-technical users to quickly develop LLM applications through a visual workflow interface, significantly reducing development time and complexity; LangChain requires users to code and debug themselves. Dify.AI has a BaaS architecture, RAG, and rich API features, and relies on an expert team to ensure reliable performance under high load, while LangChain depends on third-party code contributions, which may have maintenance issues.

May 31Fri
  1. Dify Blog65

    Dify Workflow v0.6.9 update: publish workflows as tools, iterative nodes, parameter extractors, and enhanced node functions.

    Dify Workflow v0.6.9 released, supporting the publication of workflows as tools for AI agents or other workflows to automatically call; new iterative nodes for more flexible multi-step generation; parameter extractors can extract structured parameters from unstructured information, simplifying tool calls; enhanced capabilities of various nodes. New features are suitable for encapsulating processes, batch processing tasks (such as email classification processing), and improving tool call barriers.

Apr 8Mon
  1. Dify Blog

    Dify launched the AI Workflow feature

    Dify launched the AI Workflow feature, achieving expected multi-step logic outputs through an intuitive drag-and-drop interface. This feature can be used as a standalone application or activated as Chatflow within Chatbot applications, supporting nodes such as LLM, tools, question classifiers, knowledge retrieval, code execution, and conditional logic, and can be integrated into existing systems via API.

Mar 12Tue
  1. Dify Blog65

    Dify has been listed on AWS Marketplace.

    Dify is now listed as an AWS AMI product on AWS Marketplace, with its Premium version offering single-tenant instances, supporting custom branding and deployment in any AWS VPC region, ensuring integration with AWS services and GDPR compliance. Users can subscribe here and view pricing details.

Feb 4Sun
  1. Dify Blog65

    How Dify builds an AI travel advisor

    Dify enables developers to quickly build AI applications through visual prompt composition, operation, dataset management, and an integrated RAG engine. Users can input their destination, number of days, or budget, and the AI travel advisor can generate itineraries by combining Wikipedia and Google searches, providing local accommodation and dining information, prices, and reviews. Dify supports deploying functionalities similar to Assistants API, running based on any popular LLM, and performs better with the gpt-4-1106-preview model.

Jan 26Fri
  1. Dify Blog65

    Dify introduces the Agent Assistant mode: Build an AI financial investment analysis assistant.

    Dify v0.5.0 introduces the Agent Assistant mode, supporting the use of mainstream LLMs from the market to build complex, multi-step problem-solving solutions. Users can generate investment analysis reports for any listed company based on the Yahoo Finance tool (News, Analytics, Ticker) through this mode, achieving automated research, improving efficiency, and reducing information search time.

Jan 24Wed
Jan 10Wed
Dec 26Tue
  1. Dify Blog65

    How does Dify.AI's Annotation Reply feature improve chatbot quality and reduce costs?

    Dify.AI's Annotation Reply feature allows manual editing of historical conversations or importing batches of Q&A to prioritize matching similar user questions with annotated replies, enabling chatbots to provide precise answers in specific scenarios. This feature helps build an LLMOps data feedback loop, reducing LLM call costs and latency in conversational scenarios, and accumulating valuable data assets for future model fine-tuning.

Dec 20Wed
Nov 25Sat
  1. Dify Blog

    Dify's open-source assistant API is based on any large language model.

    Dify 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.

Nov 21Tue
  1. Dify Blog

    Dify Blog: Introducing hybrid search and re-ranking to improve the retrieval accuracy of RAG systems.

    Hybrid search and re-ranking techniques significantly improve the document recall and accuracy of RAG systems. Hybrid search combines the advantages of semantic relevance and keyword matching, while re-ranking techniques optimize the ordering of candidate results, making them suitable for scenarios such as customer service robots and corporate knowledge bases.

Oct 23Mon
  1. Dify Blog65

    Dify.AI introduces a new prompt orchestration mode: a comprehensive analysis from basic to expert mode

    Dify.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.

Oct 12Thu
  1. Dify Blog35

    Enhanced Dify New Dataset Functionality

    Dify 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.

Aug 1Tue
Jul 17Mon
May 15Mon