GitHub topics: llm-rag
JawherKl/rag-explained
Retrieval-Augmented Generation (RAG) Explained, covering its working principles, components, benefits, applications, challenges, and future prospects.
Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 7 - Forks: 2
KalyanKS-NLP/rag-zero-to-hero-guide
Comprehensive guide to learn RAG from basics to advanced.
Language: Jupyter Notebook - Size: 3.33 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 695 - Forks: 196
freewu/search-engine-tool
搜索引擎API python版
Language: Python - Size: 22.5 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 2
mr-ravin/FileChat-RAG 📦
FileChat-RAG is a simple Retrieval-Augmented Generation (RAG) system that allows users to ask questions about the contents of various file formats. It extracts text from PDFs, JSON, text files, and code files, then enables interactive conversations using an LLM powered by Ollama.
Language: Python - Size: 4.88 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ShubhamMandowara/llm_rag
🚀 Transform Any PDF into an AI-Powered Q&A Chatbot!
Language: Python - Size: 67.4 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
billy-enrizky/chat-with-documents
Chat With Documents is a Streamlit application designed to facilitate interactive, context-aware conversations with large language models (LLMs) by leveraging Retrieval-Augmented Generation (RAG). Users can upload documents or provide URLs, and the app indexes the content using a vector store called Chroma to supply relevant context during chats.
Language: Python - Size: 229 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
iamaziz/mini_RAG_LLM
A minimal example for in-memory RAG using ChromaDB and Ollama LLM
Language: Python - Size: 18.6 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2
Lightbridge-KS/acc-llm-explore
Demo of LLM with RAG for radiology request classification according to ACR appropriateness criteria
Language: Jupyter Notebook - Size: 86.9 KB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
svjack/Genshin-Impact-Romantic-Ruckus
一个幽默的《原神》AI驱动的角色相亲视频项目，利用LLM API生成角色互动文案，VITS技术进行语音合成，并结合先进的视频合成技术，创造出游戏角色之间有趣且搞笑的相亲场景。最终产出为短视频。
Language: Python - Size: 5.36 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ksmin23/rag-with-knowledge-bases-for-amazon-bedrock
QA with RAG using LLMs and Knowledge Bases for Amazon Bedrock
Language: Python - Size: 575 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
w-k-s/LLM-RAG-Experiments
Playing around with Retrieval Augmented Generation.
Language: Python - Size: 76.2 KB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
jemyap91/LLM-for-good
LLM Experimentation
Language: Python - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
