5 Repos
UI components for displaying and highlighting original source material linked to generated content.
Distinguishing note: Focuses on the interactive display of source documents rather than the underlying retrieval logic.
Explore 5 awesome GitHub repositories matching user interface & experience · Source Attribution Interfaces. Refine with filters or upvote what's useful.
FastGPT is a comprehensive platform for building, deploying, and managing context-aware artificial intelligence applications. It provides a unified environment that integrates custom data sources with language models, utilizing a retrieval-augmented generation engine to ground responses in accurate, domain-specific information. The system is designed for enterprise-scale use, featuring multi-tenant architecture, administrative controls, and secure authentication protocols including OAuth 2.0 and custom single sign-on integration. The platform distinguishes itself through a visual, node-based
The platform provides cited source display to show full source documents in popups when clicking citations, highlighting specific passages used for generation.
localGPT is a private AI knowledge base and retrieval-augmented generation application. It provides a local document indexer, a hybrid search engine, and an inference interface to enable chatting with private documents and managing a self-hosted information repository without sending data to external servers. The system distinguishes itself through a dual-pass verification pipeline that ensures generated answers are grounded in retrieved sources, accompanied by explicit source attribution. It employs a hybrid retrieval approach combining semantic vector search with keyword matching and rerank
Provides UI components that list document references for every response to verify the origin of information.
The Gemini Cookbook is a comprehensive collection of implementation patterns, code samples, and development guides designed for building applications with Google Gemini models. It serves as a central resource for developers to integrate multimodal generative artificial intelligence into their software, providing the necessary frameworks to manage model interactions, stateful workflows, and structured data extraction. The repository distinguishes itself by offering specialized toolkits for autonomous agent orchestration, enabling the construction of agents that can execute code, browse the web
Maps segments of a generated response to their corresponding web sources using structured metadata for transparent references.
This project is a retrieval-augmented generation application designed to answer questions from uploaded PDF documents. It functions as a document question-answering engine and a streaming AI chat interface that provides responses backed by specific source citations. The system utilizes a state-machine workflow orchestrator to coordinate multi-step document ingestion and retrieval pipelines. This orchestration allows for step-by-step visualization and debugging of the process as documents are parsed and processed. The application manages the full lifecycle of document interaction, including P
Displays the specific document chunks used to generate AI responses, providing transparent source citations.
Prompt-kit is a React-based toolkit and component library specialized for building conversational interfaces for large language models. It provides a framework of reusable UI elements designed to handle the specific requirements of generative AI, such as streaming text responses, rendering model reasoning, and managing complex model outputs. The toolkit distinguishes itself through specialized visualization capabilities, including the rendering of chain-of-thought reasoning traces and the display of external tool interactions. It also features an interactive preview system that renders genera
Maps segments of AI responses to original web sources through clickable citations and URLs.