让我们从OpenAI上使用llama-index开始,构建一个RAG聊天机器人。该机器人可以在任意文本或 PDF文件上运行,并且可以在不到30行代码中演示和分享它。此示例需要OpenAI密钥,代码如下: # This is a simple RAG chatbot built on top of Llama Index and Gradio. It allows you to upload any text or PDF files and...
chat.ts fix pdf rag Jan 9, 2024 collection-file.ts Initial commit Jan 9, 2024 content-type.ts add custom models (mckaywrigley#1275) Jan 26, 2024 error-response.ts New provider: Open Router (mckaywrigley#1163) Jan 15, 2024 file-item-chunk.ts Initial commit Jan 9, 2024 index.ts add ...
types fix pdf rag .env.local.example Initial commit .eslintrc.json Initial commit .gitignore Initial commit README.md add to readme components.json Initial commit license Initial commit middleware.ts Initial commit next.config.js Initial commit package-lock.json Document loaders (mck...
Convert documentation into a format suitable for LLMs: We need to transform our Markdown documentation into a format that can be efficiently processed by LLMs for Retrieval Augmented Generation (RAG). Enable data updates and additions: The system should allow for ongoing updates and add...
Welcome to Verba: The Golden RAGtriever, an open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. In just a few easy steps, explore your datasets and extract insights with ease, either locally...
This project is a Multi-PDF Q&A Application that allows users to upload PDF documents, extract and chunk their content, and query them using Retrieval-Augmented Generation (RAG). It is built using Streamlit for the UI, OpenAI's ChatCompletion API for answering queries, and SentenceTransformers ...
rag_ui_with_query_topic_with_streamlit.py simple_rag_ui_with_streamlit.py using_streamlit_chat_ui.py Use_Cases README.md fast_start hackathon llmware repo_docs scripts tests wheel_archives .devcontainer .gitignore .python-version LICENSE NOTICE README.md setup.py welcome_to_llmware.sh welcome...
}} /> // --- // Frontend RAG useCopilotReadable({ description: "The current user's colleagues", value: colleagues, }); // knowledge-base integration useCopilotKnowledgebase(myCustomKnowledgeBase) // --- // Frontend actions + generative UI, with full streaming support useCopilotAction({...
}} /> // --- // Frontend RAG useCopilotReadable({ description: "The current user's colleagues", value: colleagues, }); // knowledge-base integration useCopilotKnowledgebase(myCustomKnowledgeBase) // --- // Frontend actions + generative UI, with full streaming support useCopilotAction({...
context fix pdf rag Jan 9, 2024 db Initial commit Jan 9, 2024 lib add old data export Jan 10, 2024 public Initial commit Jan 9, 2024 supabase Initial commit Jan 9, 2024 types fix pdf rag Jan 9, 2024 .env.local.example Initial commit Jan 9, 2024 ...