Ollama AI Integration with Local Model Support #7
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
- Implemented Ollama proxy routes and client-side model detection - Added support for generating text using local Ollama models - Created new Ollama-specific routes and composable functions - Enhanced AI interaction handling to support Ollama provider - Added Ollama status detection and model availability checks
Implemented Ollama proxy routes and client-side model detection Added support for generating text using local Ollama models Created new Ollama-specific routes and composable functions Enhanced AI interaction handling to support Ollama provider Added Ollama status detection and model availability checks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Ollama AI Integration with Local Model Support
I successfully integrated Ollama AI with support for local models, offering users the flexibility to run AI models locally, reduce costs, and maintain data privacy. The integration includes the following enhancements:
Implemented Ollama Proxy Routes: Seamlessly integrated server-side proxy routes for efficient AI interactions.
Client-Side Model Detection: Enhanced the front-end to automatically detect available local Ollama models.
New Ollama-Specific Routes and Composable Functions: Developed dedicated API routes and reusable functions to streamline model interactions.
Improved AI Interaction Handling: Adapted the AI interaction flow to fully support the Ollama provider.
Ollama Status and Model Availability Checks: Added robust status detection to ensure model readiness and availability.
🚀 How to Set Up Local Models with Ollama:
Download and Install Ollama:
Visit the official Ollama website to download the application:
👉 Download for Windows
Start the Ollama Server:
Open your Terminal (or CMD on Windows) and run:
ollama start*Ensure Ollama is added to your system's environment variables if needed.
Download Required Models:
Use the ollama pull command to download the desired model e.g:
ollama pull llama3*You can download as many models as you like or your machine can run.
Verify Model Installation:
Check if the downloaded model is available by typing:
ollama listStart the model locally using e.g
ollama run llama3Enjoy Seamless Integration in LogicStudio.ai:
Once the model is running in Ollama, it will automatically appear in LogicStudio.ai at:
👉
http://localhost:3000/You can now select and use the model without needing API keys, avoiding additional costs, and ensuring data privacy.
🎉 Experience Cost-Effective, Private, and Powerful AI!
This integration empowers you to leverage AI technology efficiently, whether for development, research, or personal projects—all while keeping your data secure and your costs minimal.
Enjoy! 😊