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Multi-agent AI research system — finds academic papers via semantic search & citation snowballing, then answers questions over them using agentic RAG with self-reflection. Built with LangGraph, FastAPI, Celery, and Qdrant.
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docs(readme): fix architecture description and section headings
7abcf9bView on GitHubdocs(readme): fix inconsistencies in agent and ingestion descriptions
cd46f3aView on GitHubfix(build): comment out unused imports and state for hidden tool calls toggle
50f727cView on GitHubrefactor(agent): extract paper_finder prompts and reorganize prompts.py
735ba6dView on GitHubrefactor(agent): extract inline prompts from graph.py into prompts.py
91d763dView on GitHubfix(auth): use custom fetch to inject Clerk token per-request
95bc445View on GitHubfix(qa): improve QA reliability and fix ingestion/config issues (#13)
346bdbaView on GitHubdocs: correct model name and API key across all documentation
601c130View on GitHubdocs: rename project to Corvus, expand agent architecture in README
6fb3fa9View on GitHubfix(worker): delete temp PDF after ingestion to prevent disk accumulation
2248039View on GitHubfix(agent): inject current date into planner and search agent prompts
834d30cView on GitHubfix(agent): preserve task constraints in planner step descriptions
acd5828View on GitHub