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AutoGluon-RAG 0.1 documentation
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Tutorials

  • RAG
    • Usage
    • Data Processing Module
      • Using AutoGluon-RAG to obtain processed data from documents/websites
    • Embedding Module
      • Using AutoGluon-RAG to generate embeddings
      • Set max tokens for AWS Bedrock Embedding Models
    • Vector DB Module
      • Optimizing FAISS for large-scale data
    • Retriever Module
      • Disable the reranker and only use embedding model for retrieval
    • Generator Module
      • Change generator after initializing RAG pipeline
      • Using generator directly without retrieved context
      • Use speculative decoding for inference
      • Using Speculative Decoding in AutoGluon-RAG
    • General
      • Setting Parameters for AutoGluonRAG class through code
      • Accessing models through different services
      • Configurable parameters that can be passed into the AutoGluonRAG class
      • Using AWS resources and services

Common Errors

  • List of common errors

Evaluation

  • Evaluation Module

Resources

  • GitHub
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List of tutorials for the Data Processing Module in AutoGluon-RAG#

  1. Using AutoGluon-RAG to generate embeddings

  2. Set max tokens for AWS Bedrock Embedding Models

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Using AutoGluon-RAG to generate embeddings.
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Using AutoGluon-RAG to process data from documents/websites.
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