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README.md
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![Morphik Logo](/morphik_no_pad.png)
# Morphik Core (previously databridge-core)
**Note**: DataBridge is launching a hosted service soon! Please sign up for the [waitlist](https://docs.google.com/forms/d/1gFoUKzECICugInLkRlAlgwrkRVorfNywAgkmcjmVGkE/edit).
**Looking for DataBridge? You're in the right place!**
**Note**: Morphik is launching a hosted service soon! Please sign up for the [waitlist](https://docs.google.com/forms/d/1gFoUKzECICugInLkRlAlgwrkRVorfNywAgkmcjmVGkE/edit).
[![License](https://img.shields.io/badge/license-MIT-blue)](https://github.com/databridge-org/databridge-core/tree/main?tab=License-1-ov-file#readme) [![PyPI - Version](https://img.shields.io/pypi/v/databridge-client)](https://pypi.org/project/databridge-client/) [![Discord](https://img.shields.io/discord/1336524712817332276?logo=discord&label=discord)](https://discord.gg/BwMtv3Zaju)
## What is DataBridge?
## What is Morphik?
DataBridge is an open-source database designed for AI applications that simplifies working with unstructured data. It provides advanced RAG (Retrieval Augmented Generation) capabilities with multi-modal support, knowledge graphs, and intuitive APIs.
Morphik is an open-source database designed for AI applications that simplifies working with unstructured data. It provides advanced RAG (Retrieval Augmented Generation) capabilities with multi-modal support, knowledge graphs, and intuitive APIs.
Built for scale and performance, DataBridge can handle millions of documents while maintaining fast retrieval times. Whether you're prototyping a new AI application or deploying production-grade systems, DataBridge provides the infrastructure you need.
Built for scale and performance, Morphik can handle millions of documents while maintaining fast retrieval times. Whether you're prototyping a new AI application or deploying production-grade systems, Morphik provides the infrastructure you need.
## Features
@ -52,8 +56,8 @@ Built for scale and performance, DataBridge can handle millions of documents whi
```bash
# Clone the repository
git clone https://github.com/databridge-org/databridge-core.git
cd databridge-core
git clone https://github.com/morphik-org/morphik-core.git
cd morphik-core
# Create a virtual environment
python3.12 -m venv .venv
@ -77,7 +81,7 @@ db = DataBridge("databridge://localhost:8000")
# Ingest a document
doc = db.ingest_text("This is a sample document about AI technology.",
metadata={"category": "tech", "author": "DataBridge"})
metadata={"category": "tech", "author": "Morphik"})
# Ingest a file (PDF, DOCX, video, etc.)
doc = db.ingest_file("path/to/document.pdf",
@ -152,9 +156,9 @@ for chunk in chunks:
print(chunk.content)
```
## Why Choose DataBridge?
## Why Choose Morphik?
| Feature | DataBridge | Traditional Vector DBs | Document DBs | LLM Frameworks |
| Feature | Morphik | Traditional Vector DBs | Document DBs | LLM Frameworks |
|---------|-----------|---------------------|------------|---------------|
| **Multi-modal Support** | ✅ Advanced ColPali embedding for text + images | ❌ or Limited | ❌ | ❌ |
| **Knowledge Graphs** | ✅ Automated extraction & enhanced retrieval | ❌ | ❌ | ❌ |
@ -196,4 +200,4 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
---
Built with ❤️ by DataBridge
Built with ❤️ by Morphik

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