Data & Research · GitHub ·214 ★

raggo

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

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Details

Author
teilomillet
Category
Data & Research
Platform
GitHub
Framework
openai
Language
go
Stars
214
First indexed
2026-05-15
Last active
2025-07-08
Directory sync
2026-05-15
@teilomillet

Overview

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

Quick start

git

git clone https://github.com/teilomillet/raggo

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

What raggo can do

hrdataragembeddingllm
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Llm — llm task automation.

Frequently asked questions

What is raggo?
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
How do I install raggo?
Use git: `git clone https://github.com/teilomillet/raggo`. Full setup details on the source page linked above.
Is raggo open source?
raggo is published on GitHub.
What are alternatives to raggo?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for raggo is sourced from GitHub, published by teilomillet.

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