redis-applied-ai/aws-redis-bedrock-stack
Reference architecture, guides, and examples using Amazon Bedrock and Redis as a knowledge base for RAG.
Implements end-to-end document ingestion with automatic chunking and embedding generation via Bedrock's foundation models, storing vectors in Redis Enterprise Cloud for semantic search during RAG operations. Additionally uses Redis as an LLM cache layer to reduce inference costs and latency. The stack integrates with AWS Secrets Manager for credential management and supports S3 as a document source, enabling agents to dynamically retrieve relevant context during LLM inference.
No commits in the last 6 months.
Stars
15
Forks
5
Language
—
License
—
Category
Last pushed
Oct 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/redis-applied-ai/aws-redis-bedrock-stack"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
awslabs/genai-bedrock-agent-chatbot
A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and...
aws-samples/bedrock-kb-rag-workshop
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
jashabalcom/dubai-wealth-ai
Enterprise SaaS platform — 16 AWS CDK stacks, 77 Lambda functions (ARM64), Multi-Model Bedrock...
chetangadhiya5062/aws-generative-ai-engineering
A comprehensive learning repository documenting hands-on exploration of Generative AI, Machine...
Oabanjo01/intelligent-document-search
AI-driven document intelligence platform leveraging AWS Bedrock Knowledge Base and RAG...