2 Repos
Systems that perform iterative web searches and content extraction to generate detailed research reports with citations.
Distinct from AI-Powered Web Summarization: No candidates cover the end-to-end research process of search, extraction, and cited report generation
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Danswer is an LLM application framework and RAG engine that provides a self-hosted interface for connecting large language models to private data. It serves as an enterprise AI chat interface and agent orchestrator, enabling the creation of specialized assistants with custom instructions and knowledge bases. The platform differentiates itself through an observability dashboard for tracking query history and token consumption, as well as a white-labeled interface for customized branding. It includes a multi-step research workflow for producing long-form reports and a sandboxed environment for
Executes iterative web searches and multi-step synthesis to generate detailed research reports with citations.
This project is a browser extension that integrates real-time web search results and page content into large language model prompts to provide updated context. It functions as a prompt template manager and web content extractor, allowing users to fetch live data from search engines to overcome knowledge cutoff dates. The extension enables deep research by performing comprehensive searches and providing original source citations. It augments search engines by displaying AI-generated answers alongside traditional search results through a custom interface overlay. The system includes capabiliti
Conducts comprehensive searches and extracts page content to generate detailed reports with original source citations.