GITBOOK-72: No subject

pull/55/head
vincehe 2024-04-09 14:49:47 +00:00 committed by gitbook-bot
parent 1c0d27115a
commit f1f988bcf6
No known key found for this signature in database
GPG Key ID: 07D2180C7B12D0FF
1 changed files with 1 additions and 1 deletions

View File

@ -14,4 +14,4 @@ We adopt transparent policies around product specifications to ensure decisions
### Technical Features ### Technical Features
<table data-header-hidden><thead><tr><th width="240"></th><th></th></tr></thead><tbody><tr><td>LLM Inference Engines</td><td>Dify Runtime (LangChain removed since v0.4)</td></tr><tr><td>Commercial Models Supported</td><td><strong>10+</strong>, including OpenAI and Anthropic<br>Onboard new mainstream models within 48 hours</td></tr><tr><td>MaaS Vendor Supported</td><td><strong>2</strong>, Hugging Face and Replicate</td></tr><tr><td>Local Model Inference Runtimes Supported</td><td><strong>5</strong>, Xoribits (recommended), OpenLLM, LocalAI, ChatGLM,Ollama</td></tr><tr><td>Multimodal Capabilities</td><td><p>ASR Models</p><p>Rich-text models up to GPT-4V specs</p></td></tr><tr><td>Built-in App Types</td><td>Text generation, Conversational</td></tr><tr><td>Prompt-as-a-Service Orchestration</td><td><p>Visual orchestration interface widely praised, modify Prompts and preview effects in one place.<br></p><p><strong>Orchestration Modes</strong></p><ul><li>Simple orchestration</li><li>Advanced orchestration</li><li>Assistant orchestration </li><li>Flow orchestration (Q1 2024)</li></ul><p><strong>Prompt Variable Types</strong></p><ul><li>String</li><li>Radio enum</li><li>External API</li><li>File (Jan 2024)</li></ul></td></tr><tr><td>RAG Features</td><td><p>Industry-first visual knowledge base management interface, supporting snippet previews and recall testing.</p><p><strong>Indexing Methods</strong></p><ul><li>Keywords</li><li>Text vectors</li><li>LLM-assisted question-snippet model</li></ul><p><strong>Retrieval Methods</strong></p><ul><li>Keywords</li><li>Text similarity matching</li><li>N choose 1</li><li>Multi-path recall</li></ul><p><strong>Recall Optimization</strong></p><ul><li>Re-rank models</li></ul></td></tr><tr><td>ETL Capabilities</td><td><p>Automated cleaning for TXT, Markdown, PDF, HTML, DOC, CSV formats. Unstructured service enables maximum support.</p><p>Sync Notion docs as knowledge bases.</p></td></tr><tr><td>Vector Databases Supported</td><td>Qdrant (recommended), Weaviate, Zilliz</td></tr><tr><td>Agent Technologies</td><td><p>ReAct, Function Call.<br></p><p><strong>Tooling Support</strong></p><ul><li>Invoke OpenAI Plugin standard tools </li><li>Directly load OpenAPI Specification APIs as tools</li></ul><p><strong>Built-in Tools</strong></p><ul><li>11 tools</li></ul></td></tr><tr><td>Logging</td><td>Supported, annotations based on logs</td></tr><tr><td>Annotation Reply</td><td>Based on human-annotated Q&#x26;As, used for similarity-based replies. Exportable as data format for model fine-tuning.</td></tr><tr><td>Content Moderation</td><td>OpenAI Moderation or external APIs</td></tr><tr><td>Team Collaboration</td><td>Workspaces, multi-member management</td></tr><tr><td>API Specs</td><td>RESTful, most features covered</td></tr><tr><td>Deployment Methods</td><td>Docker, Helm</td></tr></tbody></table> <table data-header-hidden><thead><tr><th width="240"></th><th></th></tr></thead><tbody><tr><td>LLM Inference Engines</td><td>Dify Runtime (LangChain removed since v0.4)</td></tr><tr><td>Commercial Models Supported</td><td><strong>10+</strong>, including OpenAI and Anthropic<br>Onboard new mainstream models within 48 hours</td></tr><tr><td>MaaS Vendor Supported</td><td><strong>2</strong>, Hugging Face and Replicate</td></tr><tr><td>Local Model Inference Runtimes Supported</td><td><strong>5</strong>, Xoribits (recommended), OpenLLM, LocalAI, ChatGLM,Ollama</td></tr><tr><td>Multimodal Capabilities</td><td><p>ASR Models</p><p>Rich-text models up to GPT-4V specs</p></td></tr><tr><td>Built-in App Types</td><td>Text generation, Conversational, Agent, Workflow, Group(Q2 2024)</td></tr><tr><td>Prompt-as-a-Service Orchestration</td><td><p>Visual orchestration interface widely praised, modify Prompts and preview effects in one place.<br></p><p><strong>Orchestration Modes</strong></p><ul><li>Simple orchestration</li><li>Assistant orchestration </li><li>Flow orchestration </li><li>Multi-Agent orchestration(Q2 2024)</li></ul><p><strong>Prompt Variable Types</strong></p><ul><li>String</li><li>Radio enum</li><li>External API</li><li>File (Q2 2024)</li></ul></td></tr><tr><td>Agentic Workflow Features</td><td><p>Experience a brand-new visual canvas for orchestration, featuring live-editing node debugging, plug-and-play DSL, native code runtime, for creating more complex, reliable, and stable LLM applications.</p><p><br>Supported Nodes</p><ul><li>LLM</li><li>Knowledge Retrieval</li><li>Question Classifier</li><li>IF/ELSE</li><li>CODE</li><li>Template</li><li>HTTP Request</li><li>Tool</li></ul></td></tr><tr><td>RAG Features</td><td><p>Industry-first visual knowledge base management interface, supporting snippet previews and recall testing.</p><p><strong>Indexing Methods</strong></p><ul><li>Keywords</li><li>Text vectors</li><li>LLM-assisted question-snippet model</li></ul><p><strong>Retrieval Methods</strong></p><ul><li>Keywords</li><li>Text similarity matching</li><li>Hybrid Search</li><li>N choose 1</li><li>Multi-path recall</li></ul><p><strong>Recall Optimization</strong></p><ul><li>Re-rank models</li></ul></td></tr><tr><td>ETL Capabilities</td><td><p>Automated cleaning for TXT, Markdown, PDF, HTML, DOC, CSV formats. Unstructured service enables maximum support.</p><p>Sync Notion docs as knowledge bases.</p></td></tr><tr><td>Vector Databases Supported</td><td>Qdrant (recommended), Weaviate, Zilliz</td></tr><tr><td>Agent Technologies</td><td><p>ReAct, Function Call.<br></p><p><strong>Tooling Support</strong></p><ul><li>Invoke OpenAI Plugin standard tools </li><li>Directly load OpenAPI Specification APIs as tools</li></ul><p><strong>Built-in Tools</strong></p><ul><li>30+ tools(As of Q1 2024)</li></ul></td></tr><tr><td>Logging</td><td>Supported, annotations based on logs</td></tr><tr><td>Annotation Reply</td><td>Based on human-annotated Q&#x26;As, used for similarity-based replies. Exportable as data format for model fine-tuning.</td></tr><tr><td>Content Moderation</td><td>OpenAI Moderation or external APIs</td></tr><tr><td>Team Collaboration</td><td>Workspaces, multi-member management</td></tr><tr><td>API Specs</td><td>RESTful, most features covered</td></tr><tr><td>Deployment Methods</td><td>Docker, Helm</td></tr></tbody></table>