Ollama is an open-source project that allows you to run large language models (LLMs) locally on your own hardware, providing a way to use AI capabilities privately without sending data to external services.
Why this server?
Allows managing local Ollama models: discover installed and loaded models, pull/remove models, load/unload from memory, check hardware fit, and offload inference (completion and embedding) to local Ollama instances.
Why this server?
Enables local RAG question answering via Ollama, providing a fully offline and privacy-preserving LLM mode for the `/ask` endpoint when configured.
Why this server?
Provides tools for predicting LLM performance and optimizing local LLM inference using Ollama, including checking compatibility of specific models and getting recommendations.
Why this server?
Uses a local Ollama model to draft redaction configuration by analyzing private files.
Why this server?
Allows AI agents to route inference requests through the VibOps proxy to Ollama, with cost attribution and logging.
Why this server?
Allows using Ollama as a local LLM provider for summarizing video content into notes.
Why this server?
Allows querying local Ollama models via HTTP.
Why this server?
Provides security and safety for AI agents using locally hosted Ollama models, with no API key required.
Why this server?
Provides integration with Ollama as a local LLM backend for the Gradio chat UI, allowing natural-language querying of the 3DCityDB.
