This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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:books: Learn to write an embedded OS in Rust :crab:
- rust
- bare-metal
- raspberry-pi-3
- rpi3
Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/
- embedding
- kimi-k2
- langchain
- llama-index
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
- unsloth
A bare metal programming guide (ARM microcontrollers)
- baremetal
- gcc
- make
- stm32
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
*That Project's project repository
- esp32
- espressif
- lvgl
- gfx
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- milvus
- unstructured-data
- image-search
- audio-search
This repository is deprecated and will be archived
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
Application of asyncio to hardware interfaces. Tutorial and code.
- micropython
- asyncio
- embedded
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.
- clip
- ecommerce
- image-retrieval
- image-search