AI/ML●●Solid
Glance - An AI fact-checking overlay for X that is actually sustainable
Comment-section triage cuts AI fact-checking costs from $0.15 to nearly zero per post.
Big BrainSolve My Problem
alessandrodiano
101mo ago
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GitHub Repository
A RAG pipeline that doesn't trust its own answers. 4 AI agents collaborate to route queries, retrieve docs, synthesize answers, and catch hallucinations automatically.
6 starsPython
DocForge – Multi-Agent RAG That Fact-Checks Its Own Answers
by toheed11·Feb 12, 2026·1 point·1 comment
AI Analysis
●●SolidBig BrainShip It
Multi-agent fact-checking loop, but RAG hallucination fixes are table stakes now.
Strengths
- •Validation agent catches hallucinations and auto-retries with expanded retrieval
- •Redis caching with confidence-based skip logic avoids redundant validation
- •Dual LLM provider support (OpenAI via OpenRouter, Gemini) for cost flexibility
Weaknesses
- •No published benchmarks comparing validation effectiveness vs. simpler approaches
- •Requires Pinecone, Redis, and external LLM APIs—no offline or local option
Category
Target Audience
Data engineers and teams building document-based Q&A systems who need hallucination mitigation.
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