Retrieval-Augmented Generation and Dense Retrieval
10 repos
Dense retrieval systems and retrieval-augmented generation (RAG) pipelines for language models, with focus on efficient neural retrieval methods like ColBERT and ColPali. The cluster covers distillation techniques for compressing retrieval models, multi-query and single-query dense retrieval approaches, and optimizations for integrating retrieval components into large language model workflows. Repositories here span implementations, model variants, and performance-tuning strategies for production RAG systems.
Python · 4
Jupyter Notebook · 1
information-retrieval ·1,255
colbert ·1,171
rag ·888
language-model ·888
vector-database ·281
colpali ·281
rust ·281
dense-retrieval ·87
beir ·62
natural-questions ·62
