advanced-rag-router-with-amazon-bedrock and simplified-corrective-rag
These two tools are complements, as the advanced RAG router could integrate the corrective RAG approach to enhance the routing decision-making and response generation by identifying and rectifying retrieval errors.
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
15/25
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
15/25
Stars: 22
Forks: 5
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT-0
Stars: 16
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT-0
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About advanced-rag-router-with-amazon-bedrock
aws-samples/advanced-rag-router-with-amazon-bedrock
How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.
About simplified-corrective-rag
aws-samples/simplified-corrective-rag
How to build a simplified Corrective RAG assistant with Amazon Bedrock using LLMs, Embeddings model, Knowledge Bases for Amazon Bedrock, and Agents for Amazon Bedrock.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work