Skip to content

Commit e32597e

Browse files
authored
Update README.md
1 parent 411911c commit e32597e

File tree

1 file changed

+66
-4
lines changed

1 file changed

+66
-4
lines changed

README.md

Lines changed: 66 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,8 +1,70 @@
1-
# python-ollama
21

3-
LLM Model details:
2+
# Python RAG Applications using Ollama
43

5-
I have combined multiple notebook files to create RAG application using python and Ollama with Langchain.
4+
Welcome to the **Python RAG Apps using Ollama** repository! This project showcases various applications of Retrieval-Augmented Generation (RAG) using the Ollama framework.
65

7-
Feel free to download and tweak as per your need.
6+
## Table of Contents
87

8+
- Introduction
9+
- Features
10+
- Installation
11+
- Usage
12+
- Examples
13+
- Contributing
14+
- License
15+
- Contact
16+
17+
## Introduction
18+
19+
This repository contains a collection of Python applications that leverage the power of Retrieval-Augmented Generation (RAG) using the Ollama framework. RAG combines the strengths of retrieval-based and generation-based models to provide more accurate and contextually relevant responses.
20+
21+
## Features
22+
23+
- **High Accuracy**: Combines retrieval and generation for precise results.
24+
- **Scalability**: Easily scalable to handle large datasets.
25+
- **Flexibility**: Supports various use cases including chatbots, Q&A systems, and more.
26+
- **Integration**: Seamlessly integrates with existing Python projects.
27+
28+
## Installation
29+
30+
To get started, clone the repository and install the required dependencies:
31+
32+
```bash
33+
git clone https://github.com/yourusername/python-rag-apps-using-ollama.git
34+
cd python-rag-apps-using-ollama
35+
pip install -r requirements.txt
36+
```
37+
38+
## Usage
39+
40+
Here's a basic example of how to use the RAG model in your application:
41+
42+
```python
43+
from ollama import RAGModel
44+
45+
# Initialize the model
46+
model = RAGModel()
47+
48+
# Example query
49+
query = "What is the capital of France?"
50+
51+
# Get the response
52+
response = model.generate(query)
53+
print(response)
54+
```
55+
56+
## Examples
57+
58+
Check out the `examples` directory for more detailed use cases and applications.
59+
60+
## Contributing
61+
62+
We welcome contributions! Please read our Contributing Guidelines for more details.
63+
64+
## License
65+
66+
This project is licensed under the MIT License - see the LICENSE file for details.
67+
68+
## Contact
69+
70+
For any questions or suggestions, feel free to open an issue or contact us at your-email@example.com.

0 commit comments

Comments
 (0)