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+Metadata-Version: 2.4
+Name: r2r
+Version: 3.5.5
+Summary: SciPhi R2R
+Author-email: Owen Colegrove <owen@sciphi.ai>
+License: MIT
+Requires-Python: <3.13,>=3.10
+Description-Content-Type: text/markdown
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+
+![R2R Logo](https://github.com/user-attachments/assets/16d32b31-4c7d-4e84-be19-24574b33527b)
+
+<h3 align="center">
+The most advanced AI retrieval system.
+
+Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
+</h3>
+
+<div align="center">
+   <div>
+      <h3>
+         <a href="https://app.sciphi.ai"><strong>Sign up</strong></a> ·
+         <a href="https://r2r-docs.sciphi.ai/self-hosting/installation/overview"><strong>Self Host</strong></a>
+      </h3>
+   </div>
+   <div>
+      <a href="https://r2r-docs.sciphi.ai/"><strong>Docs</strong></a> ·
+      <a href="https://github.com/SciPhi-AI/R2R/issues/new?assignees=&labels=&projects=&template=bug_report.md&title="><strong>Report Bug</strong></a> ·
+      <a href="https://github.com/SciPhi-AI/R2R/issues/new?assignees=&labels=&projects=&template=feature_request.md&title="><strong>Feature Request</strong></a> ·
+      <a href="https://discord.gg/p6KqD2kjtB"><strong>Discord</strong></a>
+   </div>
+   <br />
+   <p align="center">
+    <a href="https://r2r-docs.sciphi.ai"><img src="https://img.shields.io/badge/docs.sciphi.ai-3F16E4" alt="Docs"></a>
+    <a href="https://discord.gg/p6KqD2kjtB"><img src="https://img.shields.io/discord/1120774652915105934?style=social&logo=discord" alt="Discord"></a>
+    <a href="https://github.com/SciPhi-AI"><img src="https://img.shields.io/github/stars/SciPhi-AI/R2R" alt="Github Stars"></a>
+    <a href="https://github.com/SciPhi-AI/R2R/pulse"><img src="https://img.shields.io/github/commit-activity/w/SciPhi-AI/R2R" alt="Commits-per-week"></a>
+    <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-purple.svg" alt="License: MIT"></a>
+  </p>
+</div>
+
+# About
+R2R (Reason to Retrieve) is an advanced AI retrieval system supporting Retrieval-Augmented Generation (RAG) with production-ready features. Built around a RESTful API, R2R offers multimodal content ingestion, hybrid search, knowledge graphs, and comprehensive document management.
+
+R2R also includes a **Deep Research API**, a multi-step reasoning system that fetches relevant data from your knowledgebase and/or the internet to deliver richer, context-aware answers for complex queries.
+
+
+## Getting Started
+
+### Cloud Option: [SciPhi Cloud](https://app.sciphi.ai)
+Access R2R through SciPhi's managed deployment with a generous free tier. No credit card required.
+
+### Self-Hosting Option
+
+```bash
+# Quick install and run in light mode
+pip install r2r
+export OPENAI_API_KEY=sk-...
+python -m r2r.serve
+
+# Or run in full mode with Docker
+# git clone git@github.com:SciPhi-AI/R2R.git && cd R2R
+# export R2R_CONFIG_NAME=full OPENAI_API_KEY=sk-...
+# docker compose -f compose.full.yaml --profile postgres up -d
+```
+
+For detailed self-hosting instructions, see the [self-hosting docs](https://r2r-docs.sciphi.ai/self-hosting/installation/overview).
+
+## Demo
+https://github.com/user-attachments/assets/173f7a1f-7c0b-4055-b667-e2cdcf70128b
+
+## Using the API
+
+### 1. Install SDK & Setup
+
+```bash
+# Install SDK
+pip install r2r  # Python
+# or
+npm i r2r-js    # JavaScript
+
+# Setup API key
+export R2R_API_KEY=pk_..sk_...  # Get from SciPhi Cloud dashboard
+```
+
+### 2. Client Initialization
+
+```python
+from r2r import R2RClient
+client = R2RClient()  # Use base_url=... for self-hosted
+```
+
+```javascript
+const { r2rClient } = require('r2r-js');
+const client = new r2rClient();  // Use baseURL=... for self-hosted
+```
+
+### 3. Document Operations
+
+```python
+# Ingest sample or your own document
+client.documents.create_sample(hi_res=True)
+# client.documents.create(file_path="/path/to/file")
+
+# List documents
+client.documents.list()
+```
+
+### 4. Search & RAG
+
+```python
+# Basic search
+results = client.retrieval.search(query="What is DeepSeek R1?")
+
+# RAG with citations
+response = client.retrieval.rag(query="What is DeepSeek R1?")
+
+# Agentic reasoning with RAG
+response = client.retrieval.agent(
+  message={"role":"user", "content": "What does deepseek r1 imply? Think about market, societal implications, and more."},
+  rag_generation_config={
+    "model"="anthropic/claude-3-7-sonnet-20250219",
+    "extended_thinking": True,
+    "thinking_budget": 4096,
+    "temperature": 1,
+    "top_p": None,
+    "max_tokens_to_sample": 16000,
+  },
+  mode="research" # for Deep Research style output
+)
+```
+
+## Key Features
+
+- **📁 Multimodal Ingestion**: Parse `.txt`, `.pdf`, `.json`, `.png`, `.mp3`, and more
+- **🔍 Hybrid Search**: Semantic + keyword search with reciprocal rank fusion
+- **🔗 Knowledge Graphs**: Automatic entity & relationship extraction
+- **🤖 Agentic RAG**: Reasoning agent integrated with retrieval
+- **🔐 User & Access Management**: Complete authentication & collection system
+
+## Community & Contributing
+
+- [Join our Discord](https://discord.gg/p6KqD2kjtB) for support and discussion
+- Submit [feature requests](https://github.com/SciPhi-AI/R2R/issues/new?assignees=&labels=&projects=&template=feature_request.md&title=) or [bug reports](https://github.com/SciPhi-AI/R2R/issues/new?assignees=&labels=&projects=&template=bug_report.md&title=)
+- Open PRs for new features, improvements, or documentation
+- Book a [demo call with the SciPhi founders](https://calendly.com/owen-uzg/sciphi-demo)
+
+### Our Contributors
+<a href="https://github.com/SciPhi-AI/R2R/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=SciPhi-AI/R2R" />
+</a>