retrieval-augmented-generation and RAG

retrieval-augmented-generation
53
Established
RAG
28
Experimental
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 20/25
Maintenance 2/25
Adoption 4/25
Maturity 8/25
Community 14/25
Stars: 33
Forks: 24
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 5
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No Package No Dependents
No License Stale 6m No Package No Dependents

About retrieval-augmented-generation

VectorInstitute/retrieval-augmented-generation

Reference Implementations for the RAG bootcamp

This collection provides examples for building applications that can answer questions using up-to-date or private information, going beyond what a large language model was originally trained on. You input a question and relevant external data (like documents, web pages, or database records), and it outputs an accurate, specific answer. It's designed for developers, data scientists, and AI engineers looking to create smart assistants or search tools.

AI development natural language processing information retrieval question answering data integration

About RAG

sevenjunebaby/RAG

System Retrieval Augmented Generation

Related comparisons

retrieval-augmented-generation and RAG-Overview retrieval-augmented-generation and Retrieval-Augmented-Generation-LLM-Demonstrator retrieval-augmented-generation and RAG-Playground retrieval-augmented-generation and Retrieval-Augmented-Generation retrieval-augmented-generation and rag-zero-to-hero-guide retrieval-augmented-generation and mlx-rag

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