build-on-aws/llm-rag-vectordb-python
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.
Implements multi-domain RAG pipelines including pgvector-backed PostgreSQL for semantic search, image generation via Stable Diffusion, and CSV data analysis—all deployable as serverless Lambda functions or interactive Streamlit frontends. Combines LangChain for orchestration with Aurora/RDS/OpenSearch backends, enabling specialized use cases from resume screening to LinkedIn profile summarization with Bedrock's Titan models.
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Last pushed
Feb 28, 2025
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