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bragai / bRAG-langchain

Everything you need to know to build your own RAG application

β–² ~0/7d β˜… 4.2k Jupyter Notebook 5d ago
pinecone-io / examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

β–² ~0/7d β˜… 3.0k Jupyter Notebook 1d ago
adrida / tracer

Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.

β–² ~0/7d β˜… 1.0k Jupyter Notebook 24d ago
weaviate / recipes

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

β–² ~0/7d β˜… 950 Jupyter Notebook 2d ago
amaiya / onprem

A toolkit for applying LLMs to sensitive, non-public data in offline or restricted environments

β–² ~0/7d β˜… 845 Jupyter Notebook today
huggingface / optimum-intel

πŸ€— Optimum Intel: Accelerate inference with Intel optimization tools

β–² ~0/7d β˜… 624 Jupyter Notebook today
Prasannajaga / deployment-guide

Deployment & experimentation of LLM inference at production scale (P/D disaggregation, KV offloading, parallelism, and autoscaling).

β–² ~0/7d β˜… 63 Jupyter Notebook 28d ago
arjun988 / promptModel

PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions

β–² ~0/7d β˜… 32 Jupyter Notebook 1mo ago
mongodb-developer / GenAI-Showcase

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

β–² ~-2/7d β˜… 4.3k Jupyter Notebook 10d ago
zjunlp / EasyEdit

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

β–² ~-2/7d β˜… 2.9k Jupyter Notebook 20d ago
NirDiamant / Controllable-RAG-Agent

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

β–² ~-2/7d β˜… 1.6k Jupyter Notebook today
curiousily / AI-Bootcamp

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)