{"repo":"protonspy/advanced-deep-research","free":true,"listed":false,"github":"https://github.com/protonspy/advanced-deep-research","clone":"git clone https://github.com/protonspy/advanced-deep-research.git","description":"Automated Deep Research with LLMs, web search, paper parsing, and didactic summarization.","language":"Python","stars":66,"topics":["ai-research","arxiv","deep-research","llm","multi-agent","paper-summarization","qdrant","qwen","vllm","web-scraping"],"license":"MIT","category":"ai-agents","readme_excerpt":"🧠 Advanced Deep Research Advanced Deep Research is an autonomous multi-agent research framework designed to simulate a human-level deep researcher. It breaks down complex queries into actionable sub-questions, performs real-time searches across multiple sources (web, papers, and local vector DB), and synthesizes the most relevant information into clear, didactic summaries. --- 🚀 Features - 🔍 Sub-question generation using a local LLM (Qwen 2.5) - 🌐 Web search via Brave Search, Google, or SerpAPI - 📄 Advanced content extraction from HTML and PDFs (with pymupdf4llm ) - ✍️ Chunked summarization using facebook/bart-large-cnn (fine-tuned) - 🎯 Relevance filtering via jina-reranker-v2-base-multilingual (threshold: 0.5) - 🗂 Knowledge storage in a local vector DB (Qdrant) - 🤖 Reflective agent to determine when to stop searching - 📘 Final summarizer agent for clear, didactic answers --- ⚙️ Tech Stack Component Technology/Model ---------------------- --------------------------------------------- LLM (main) Qwen 2.5 via vLLM (OpenAI-compatible API) Embeddings jinaai/jina-embeddings-v3 Summarization facebook/bart-large-cnn Re-ranker jinaai/jina-reranker-v2-base-multilingual Vector Storage Qdrant PDF Parsing pymupdf4llm Web Search Brave API, Google (local), SerpAPI, Tavily Backend FastAPI + Transformers(Hugging Face) --- 📂 Project Structure --- 🧰 Installation 1. Clone the repository 2. Setup environment variables Copy .env.example to .env and set your keys: Fill in your credentia","default_branch":null,"files":null,"tree":[],"storefront":"/r/protonspy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/protonspy/advanced-deep-research/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}