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YS0meone / Corvus

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.

Why this job: says: rag, semantic search; topics: rag, vector-search

What it does

  • Real-time subagent status cards. live in-place updates as the Research Agent and Q&A Agent run (planning, searching, evaluating, generating)
  • Paper selection interrupt. after search completes, a structured interrupt pauses execution so the user can choose which papers to bring into Q&A
  • Ingestion progress panel. per-paper status tracking with a progress bar as the Celery worker processes each PDF in the background
  • Streaming AI responses. token-by-token streaming via the LangGraph SDK
  • Persistent thread history. conversation threads are stored in Postgres and restored across sessions

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Inactive
Last commit 8 months ago
Stars
101
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
52% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
None
No issues filed
Pull requests
12 merged
2 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 52%
  • TypeScript 45%
  • CSS 1%
  • JavaScript 1%

Topics

  • academic-research
  • agentic-rag
  • ai-agent
  • celery
  • fastapi
  • grobid
  • langchain
  • langgraph
  • multi-agent
  • python
  • qdrant
  • rag

Project record

  • JobRAG and search
  • StatusListed
  • Commits169
  • Forks15
  • Watching9
  • Stars in 28 days+1
  • CreatedSep 4, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

Type to search.

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