ioannis-papadimitriou/rag-playground
A framework for systematic evaluation of retrieval strategies and prompt engineering in RAG systems, featuring an interactive chat interface for document analysis.
This tool helps researchers, data scientists, and anyone working with large document sets to quickly get answers from their PDFs and CSVs by chatting with an AI. You upload your documents, and the system processes them to enable a conversation where the AI can retrieve and reference information directly from your files. It's designed for users who need to analyze and understand complex information across multiple documents efficiently without manually sifting through them.
No commits in the last 6 months.
Use this if you need to extract specific information, summarize topics, or understand relationships across a collection of documents like research papers, reports, or data files by asking natural language questions.
Not ideal if you're looking for a simple chatbot for general knowledge or if your primary need is for a system that only processes text without requiring document-specific retrieval capabilities.
Stars
11
Forks
2
Language
Python
License
GPL-2.0
Category
Last pushed
Dec 18, 2024
Commits (30d)
0
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