GitHub / 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.
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Stars: 139
Forks: 32
Open issues: 13
License: mit-0
Language: Jupyter Notebook
Size: 103 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 month ago
Pushed at: 3 months ago
Last synced at: 15 days ago
Commit Stats
Commits: 84
Authors: 5
Mean commits per author: 16.8
Development Distribution Score: 0.179
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/build-on-aws/llm-rag-vectordb-python
Topics: amazon-bedrock, langchain-python, llms, node-js, python3, rag