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Real time google image scraper. The process is automated by sending HTTP requests to retrieve image data which is then parsed and saved.
Practical LangChain tutorials for LLM applications development
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
A modular graph-based Retrieval-Augmented Generation (RAG) system
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
Code samples used on cloud.google.com
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
This is our solution dealing with BKAI challenge 😄
Multilingual Sentence & Image Embeddings with BERT
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
Production-Grade Container Scheduling and Management
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https:/…
We write your reusable computer vision tools. 💜
Code from the Kubernetes in Action 2nd Edition book
MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
LlamaIndex is a data framework for your LLM applications
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
A compute framework for turning complex data into vectors. Build multimodal vectors with ease and define weights at query time so you don't need a custom reranking algorithm to optimise results. Go…
SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC ac…
The Prometheus monitoring system and time series database.
Blazing fast framework for fine-tuning similarity learning models
Building Large Language Model Applications, Published by Packt