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Integrate Ollama for Local AI Capabilities #3

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mbarinov opened this issue Oct 9, 2024 · 1 comment
Open

Integrate Ollama for Local AI Capabilities #3

mbarinov opened this issue Oct 9, 2024 · 1 comment
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enhancement New feature or request

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@mbarinov
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mbarinov commented Oct 9, 2024

Description

Objective: Integrate Ollama into RepoGPT to enable local AI processing using models like Llama 2.


Rationale

  • Enhanced Privacy: Keep code and AI interactions on the local machine.
  • Cost Reduction: Eliminate reliance on paid external AI APIs.
  • Offline Accessibility: Use AI features without an internet connection.

Proposed Solution

  • Integrate Ollama Support:

    • Allow RepoGPT to use Ollama as an alternative AI backend.
    • Add configuration options to switch between OpenAI and Ollama.
  • Update Documentation:

    • Provide setup instructions for installing Ollama and required models.
    • Include troubleshooting tips for common issues.

Potential Challenges

  • Resource Requirements: Running large models locally may require significant CPU/GPU resources.
  • Setup Complexity: Users might find installing and configuring Ollama challenging.
  • Performance Considerations: Local models may have different performance characteristics compared to cloud-based solutions.

Next Steps

  1. Community Feedback:

    • Gather input on interest levels and potential concerns.
    • Assess how many users would benefit from this integration.
  2. Development Planning:

    • Outline the technical requirements for integration.
    • Identify contributors interested in working on this feature.
  3. Prototype Development:

    • Begin work on a basic integration to test feasibility.
    • Ensure modular design to keep RepoGPT flexible.

We welcome your thoughts and contributions!

  • Comment below with any feedback or suggestions.
  • React with 👍 if you're interested in this feature.
@mbarinov mbarinov added the enhancement New feature or request label Oct 9, 2024
mbarinov added a commit that referenced this issue Oct 13, 2024
Work in progress on supporting local LLMs for enhanced privacy and cost efficiency

Discussion #3
@marklysze
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Definitely interested, like the potential in your work. Local LLMs is important for my work. Can test if needed.

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