How to Access R2R Documentation When Main Site Is Down?

[Avinash-sr]

Hi everyone,
I’m trying to access the R2R documentation, but the main site seems to be down. Are there any alternative links, mirrors, or resources where I can find the documentation or get help?
Also, can anyone share their experience with setting up R2R or integrating it with other frameworks?
Thanks in advance!

[xXMrNidaXx]

A few options when docs are down:

1. GitHub docs folder
The repo itself has documentation:
https://github.com/SciPhi-AI/R2R/tree/main/docs

2. Wayback Machine

https://web.archive.org/web/*/r2r.dev/*

3. Read the code
R2R is well-documented in source:

• r2r/main/api/ — API endpoints
• r2r/main/services/ — Core services
• r2r/examples/ — Usage examples

Quick setup guide:

# Install
pip install r2r

# Start server
r2r serve --docker

# Or without Docker
r2r serve --host 0.0.0.0 --port 7272

Basic usage:

from r2r import R2RClient

client = R2RClient("http://localhost:7272")

# Ingest
client.ingest_files(["document.pdf"])

# Search
results = client.search("your query")

# RAG
response = client.rag("your question")

Integration tips:

• Works with LangChain via retriever wrapper
• LiteLLM for multi-provider LLM support
• pgvector for vector storage (built-in)

We use R2R in production at Revolution AI — feel free to ask specific setup questions here!

[aniruddhaadak80]

When docs go down, the repo itself usually becomes the best fallback, especially examples and docker configs, because they reflect what actually works right now rather than what the docs site said last month.nnOne thing that would materially help future users is a minimal offline docs fallback page checked into the repo, with install, run, ingest, and search examples in one place. It is low effort, but it removes a single point of failure when the main site is unavailable.