Why this server?
Provides RAG capabilities for semantic document search using Chroma vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
Why this server?
A Node.js implementation for vector search using LanceDB and Ollama's embedding model.
Why this server?
Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.
Why this server?
A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.
Why this server?
Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
Why this server?
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.