{"repo":"redis-developer/gcp-redis-llm-stack","free":true,"listed":false,"github":"https://github.com/redis-developer/gcp-redis-llm-stack","clone":"git clone https://github.com/redis-developer/gcp-redis-llm-stack.git","description":"Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.","language":"Jupyter Notebook","stars":38,"topics":["caching","chatbot","gcp","google-cloud","llms","memory","palm-api","redis","redis-enterprise","vector-database"],"license":"MIT","category":"ai-agents","readme_excerpt":"Scalable LLM Architectures with Redis & GCP Vertex AI ☁️ Generative AI with Google Vertex AI comes with a specialized in-console studio experience, a dedicated API for Gemini and easy-to-use Python SDK designed for deploying and managing instances of Google's powerful language models. ⚡ Redis Enterprise offers fast and scalable vector search, with an API for index creation, management, blazing-fast search, and hybrid filtering. When coupled with its versatile data structures - Redis Enterprise shines as the optimal solution for building high-quality Large Language Model (LLM) apps. This repo serves as a foundational architecture for building LLM applications with Redis and GCP services. Reference architecture 1. Primary Data Sources 2. Data Extraction and Loading 3. Large Language Models - text-embedding-gecko@003 for embeddings - gemini-1.5-flash-001 for LLM generation and chat 3. High-Performance Data Layer (Redis) - Semantic caching to improve LLM performance and associated costs - Vector search for context retrieval from knowledge base RAG + Semantic Caching demo Open the code tutorial using the Colab notebook to get your hands dirty with Redis and Vertex AI on GCP. Additional resources - Streamlit PDF chatbot example app - Redis vector search documentation - Get started with RedisVL - Google VertexAI resources - More Redis ai resources","default_branch":null,"files":null,"tree":[],"storefront":"/r/redis-developer","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/redis-developer/gcp-redis-llm-stack/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}