avnlp/rag-pipelines

Advanced RAG Pipelines and Evaluation: Self-Reflective RAG, Corrective RAG, Adaptive RAG, Sub-Query Generation and Routing, DSPy, DeepEval

Language: Python - Size: 82 KB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

avnlp/avnlp.github.io

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avnlp/dataloaders

Dataloaders is a versatile library designed for processing and formatting datasets to support various Retrieval-Augmented Generation (RAG) pipelines, facilitating efficient evaluation and analysis.

Language: Python - Size: 74.2 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 3 - Forks: 0

avnlp/hyperparameter-tuning

Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance

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avnlp/llm-blender

Ensembling LLMs using LLM-Blender

Language: Python - Size: 1 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 6 - Forks: 1

avnlp/rankers

Language: Python - Size: 708 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

avnlp/llm-finetuning

Language: Python - Size: 817 KB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

avnlp/vectordb

Created pipelines for Semantic Search, Metadata Filtering, Hybrid Search, Reranking, and Retrieval-Augmented Generation (RAG) for the TriviaQA, ARC, PopQA, FactScore, and Edgar datasets. These pipelines have been implemented for the Pinecone, Weaviate, Milvus, Qdrant and Chroma vector databases.

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avnlp/.github

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avnlp/rrf

Performance Evaluation of Rankers and RRF Techniques for Retrieval Pipelines

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avnlp/finbert-hf

Language: Python - Size: 61.5 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0