AI Infrastructure · GitHub ·73 ★

open-retrievals

All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers

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Details

Author
LongxingTan
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
73
First indexed
2026-05-15
Last active
2025-08-10
Directory sync
2026-05-15
@LongxingTan

Overview

All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers

Quick start

git

git clone https://github.com/LongxingTan/open-retrievals

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

What open-retrievals can do

ragllmembedding
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is open-retrievals?
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
How do I install open-retrievals?
Use git: `git clone https://github.com/LongxingTan/open-retrievals`. Full setup details on the source page linked above.
Is open-retrievals open source?
open-retrievals is published on GitHub.
What are alternatives to open-retrievals?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for open-retrievals is sourced from GitHub, published by LongxingTan.

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