Skip to main content
Back to top
Ctrl
+
K
LocalRQA documentation
Getting Started
Installation
Quickstart
Modules
Data
RQA Data Format
Prepare RQA Data
Training
Training a Retriever
Contrastive Learning (CTL)
Distill from Cross-Attention scores (DCA)
Distill from an LM’s probability distribution (RPG)
Training a Generator
SFT with Gold Data (SFT)
SFT with a Frozen Retriever (SwR)
Fusion-in-Decoder Training (FiD)
Evaluation
Retriever Evaluation
End-to-End Evaluation
Serving
Static Human Evaluation
Interactive Chat
Inference Acceleration Frameworks
Playground
Customize your RQA system
Customize Model Trainers
Use Cases
Databricks
Faire
API Reference
local_rqa namespace
local_rqa.evaluation package
local_rqa.guardrails package
local_rqa.pipelines package
local_rqa.qa_llms package
local_rqa.retrievers package
local_rqa.schema package
local_rqa.serve package
local_rqa.text_loaders package
local_rqa.trainers namespace
local_rqa.trainers.qa_llm namespace
local_rqa.trainers.retriever namespace
.rst
.pdf
local_rqa.guardrails package
Contents
Submodules
local_rqa.guardrails.base module
Module contents
local_rqa.guardrails package
#
Submodules
#
local_rqa.guardrails.base module
#
Module contents
#
Contents
Submodules
local_rqa.guardrails.base module
Module contents