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.
-
Updated
May 22, 2024 - Jupyter Notebook
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.
adaptive rag, corrective rag and agentic rag examples using langgraph
React-based LLM frontend implementing CRAG & ToolCalls
Example implementation of a Corrective-RAG workflow for agents using LangChain and LangGraph
Context-aware tool for automated BDD test generation and execution using RAG, VectorDB, and LLaMA.
Gradio based Chatbot for Medical Queries using CrewAI framework to showcase Corrective-RAG based AgenticAI in python v3.11.0
Corrective RAG pipeline with LangChain + (Agentic Workflow) LangGraph. Intelligent document grading, query transformation & web search. Groq LLM, FAISS, Self_Query Retriever, FlashRank, FastAPI, LangSmith. Deployed on HF Spaces.
Advanced RAG using langgraph which uses websearch functionality to produce relevant documents.
🔍 Enhance your searches with Self-Corrective RAG, a system that optimizes queries and evaluates document relevance using LangGraph and Google Gemini.
Add a description, image, and links to the corrective-rag topic page so that developers can more easily learn about it.
To associate your repository with the corrective-rag topic, visit your repo's landing page and select "manage topics."