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?
Leverages local Ollama LLM for offline diagnosis and remediation, avoiding external API calls.
Why this server?
Integrates with local Ollama instances for private, AI-powered structured data extraction and content summarization.
Why this server?
Provides integration with Ollama as a local LLM backend for the Gradio chat UI, allowing natural-language querying of the 3DCityDB.
Why this server?
Enables the MCP server to use Ollama as a local provider for embeddings and inference, powering semantic compression and graph-based knowledge retrieval.
Why this server?
Supports optional integration with Ollama for higher-quality embeddings in semantic search functionality, using models like nomic-embed-text for improved vector search results.
Why this server?
Utilizes Ollama as a local-first model runtime to power the retrieval-ranking learning loop and provide model-driven memory orchestration.
Why this server?
Provides a preset tunnel configuration for Ollama with authentication enabled on port 11434, enabling secure external access to local Ollama instances.
Why this server?
Allows using local LLMs via Ollama for retrieval-augmented generation (RAG).
Why this server?
Integrates with Ollama for local AI-powered natural language to SQL query generation.
