Grecil/Corrective-RAG
Implementation of Corrective RAG using LangChain and LangGraph.
When you need to get accurate answers from an AI model based on your specific documents, this project helps reduce common AI 'hallucinations.' You provide your own documents and a question, and it generates a more reliable answer. This is useful for anyone who needs trustworthy AI responses drawn directly from their own knowledge base, such as researchers, legal professionals, or business analysts.
No commits in the last 6 months.
Use this if you need an AI to answer questions reliably and accurately using only the information contained within your provided documents, rather than general internet knowledge.
Not ideal if you want a conversational AI that remembers past interactions or if you need to process a wide variety of document formats like spreadsheets or presentations.
Stars
28
Forks
8
Language
Python
License
—
Category
Last pushed
Mar 14, 2025
Commits (30d)
0
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