Code & Development · GitHub ·49 ★

RAG-with-Cross-Encoder-Reranker

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

Details

Author
mickymultani
Category
Code & Development
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
49
First indexed
2026-05-15
Last active
2024-01-12
Directory sync
2026-05-15

Overview

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

Quick start

git

git clone https://github.com/mickymultani/RAG-with-Cross-Encoder-Reranker

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAG-with-Cross-Encoder-Reranker can do

  • Inference — inference task automation.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Test — test task automation.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is RAG-with-Cross-Encoder-Reranker?
Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.
How do I install RAG-with-Cross-Encoder-Reranker?
Use git: `git clone https://github.com/mickymultani/RAG-with-Cross-Encoder-Reranker`. Full setup details on the source page linked above.
Is RAG-with-Cross-Encoder-Reranker open source?
RAG-with-Cross-Encoder-Reranker is published on GitHub.
What are alternatives to RAG-with-Cross-Encoder-Reranker?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RAG-with-Cross-Encoder-Reranker is sourced from GitHub, published by mickymultani.

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