https://github.com/falconlee236/rag-from-scratch-with-gemini
This Repository is Google Gemini version of rag-from-scratch with langchain
https://github.com/falconlee236/rag-from-scratch-with-gemini
gemini gemini-ai gemini-api gemini-pro langchain rag
Last synced: 2 months ago
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This Repository is Google Gemini version of rag-from-scratch with langchain
- Host: GitHub
- URL: https://github.com/falconlee236/rag-from-scratch-with-gemini
- Owner: falconlee236
- License: apache-2.0
- Created: 2024-12-10T06:11:02.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-01-15T09:52:50.000Z (5 months ago)
- Last Synced: 2025-02-11T09:50:29.367Z (4 months ago)
- Topics: gemini, gemini-ai, gemini-api, gemini-pro, langchain, rag
- Language: Python
- Homepage:
- Size: 37.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# rag-from-scratch-with-gemini
This Repository is Google Gemini version of [rag-from-scratch with langchain](https://github.com/langchain-ai/rag-from-scratch)
Due to OpenAI's API pricing policy, Starter uses only 5$ credit to apply ChatGPI API.
This policy makes me annoyed. so I find **Free** LLM API in Google [Gen AI Studio](https://aistudio.google.com/prompts/new_chat) with gemini-1.5
## Get Started
If you start langchain's rag-from-scratch tutorial with google genai stdio with free, You just create google genAi studio API keys and assign that key to `GOOGLE_API_KEY` enviroment variable
```shell
GOOGLE_API_KEY="your api key"
```
And? Feel free to study rag from scratch in gemini with this example repo!!
## Available Model
* gemini-2.0-flash-exp
* gemini-1.5-flash
* gemini-1.5-flash-8b
* gemini-1.5-pro
### **I Love your star, if this repo is so much helpfullllllllll!**