Qdrant Knowledge Graph

Knowledge Graph Memory

Create and search enduring semantic graphs for effective data organization.

Basic Memory

Transform your understanding with a cutting-edge knowledge system that creates a lasting semantic graph using markdown, right on your device.

Knowledge Graph

Enhance natural language interactions by incorporating persistent memory and structured knowledge management using a local graph database, facilitating improved personalization and context retention.

MemoryMesh

Easily manage and search organized information within local knowledge graphs.

Ragie

Enhances connectivity with Ragie's knowledge repository system for streamlined retrieval and extraction of data from extensive datasets, optimizing search and information access.

GraphRAG

Enhance your document search experience with a potent combination of Neo4j graph database and Qdrant vector database. Uncover semantic connections and expand structural context by seamlessly following relationships.

Knowledge Graph

Enhances Claude's memory using a local knowledge graph that houses entities, observations, and relationships, facilitating structured data access and in-depth context preservation during interactions.

RAG Docs

Enhances information retrieval through semantic search functionality and a vector database (Qdrant), facilitating streamlined access to extensive document repositories.

RAG Documentation

Experience advanced knowledge access with seamless integration of Qdrant vector search and documentation retrieval in Model Context Protocol (MCP). Unlock context-aware responses and enable semantic querying for a richer user experience.

Elasticsearch Knowledge Graph

Enhance your data insights with a cutting-edge Model Context Protocol (MCP) leveraging Elasticsearch technology. This innovative solution not only captures access trends but also prioritizes crucial, up-to-date, and frequently viewed data. Benefit from robust search features and full CRUD functionality for seamless information management.

Logseq Knowledge Graph

Enhance your Logseq experience with seamless integration of the Model Context Protocol (MCP). Access, analyze, and manage your personal knowledge repositories effortlessly using features like page content browsing, journal digesting, relationship examination, and conceptual associations.

Qdrant with OpenAI Embeddings

Unlock the potential of AI applications by seamlessly integrating them with Qdrant vector databases through the innovative Model Context Protocol (MCP). This cutting-edge protocol leverages OpenAI embeddings to empower semantic search capabilities, facilitating contextual document retrieval and enhancing knowledge base query processes.

Wikidata

Discover a seamless integration with Wikidata, empowering streamlined entity searches, retrieval of properties, and execution of SPARQL queries. Uncover a gateway to accessing well-organized information on individuals, locations, and ideas.

RDF Explorer

Discover the potential of delving into RDF Knowledge Graphs with the Model Context Protocol (MCP). Unleash the power of SPARQL queries, comprehensive full-text search capabilities, and advanced visualization tools in various operational modes, including local file and endpoint settings.

Knowledge Graph Memory

Enhance your conversational memory with a cutting-edge system that manages knowledge graphs effectively. Store, retrieve, and query information seamlessly to enrich ongoing dialogues and foster lasting memory retention.