Unlocking the Power of Local AI with FileChat
For the past few weeks, I’ve been dedicated to developing FileChat, an innovative read-only AI coding agent focused on privacy and independence. While I aimed for a fully local solution, the complexities of creating local AI components added unexpected challenges.
Key Insights:
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Local Embeddings:
- Utilized SentenceTransformers for quick file retrieval.
- Chose nomic-embed-text-v1.5 for its balance of size and quality.
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Local Chat:
- Faced hurdles with local LLM deployment using the ONNX Runtime.
- Currently offers flexibility with three LLM providers:
- Mistral AI
- OpenAI
- Self-hosted solutions
This journey underscores the current limitations of running LLMs locally on average consumer hardware. Challenges remain, but the pursuit of innovation never stops!
🔗 Have you navigated similar challenges in local AI? Share your experiences below! Let’s learn from each other. 💡 #AI #MachineLearning #FileChat
