Contents Menu Expand Light mode Dark mode Auto light/dark mode
AutoGluon-RAG 0.1 documentation
Light Logo Dark Logo

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
Back to top

List of tutorials for the Retriever Module in AutoGluon-RAG#

  1. Disable the reranker and only use embedding model for retrieval

Next
Disabling the reranker and only use embedding model for retrieval.
Previous
Optimizing FAISS Vector Database for large scale data.
Copyright © 2024, All authors. Licensed under Apache 2.0.
Made with Sphinx and @pradyunsg's Furo