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AI & ML
RAG-Framework-Evaluation by oztrkoguz
This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance. Maintained by oztrkoguz on GitHub, where it has earned 14 stars from the community.
Install
pip install rag-framework-evaluationMore LlamaIndex projects
AI & ML
Measuring RAG solutions throughput and latency. Maintained by SciPhi-AI on GitHub, where it has earned 19 stars from the community.
S
2y agoAI & ML
Multimodal document QA: vision + retrieval over PDFs (LLaVA + LlamaIndex). Maintained by 0xzall on GitHub, where it has earned 13 stars from the community.
0
4mo agoAI & ML
LlamaIndex Powered RAG for PDF, TXT and DOCX files with Tesseract OCR support, Semantic chunking, Document citations with direct page display, Advanced Caching and Duplicate Detection with Redis Vector DB. Maintained by rigvedrs on GitHub, where it has earned 17 stars from the community.
R
10mo ago