Projects with this topic
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Flexible GraphRAG: Python, LlamaIndex (LangChain also coming) Docker Compose: 8 Property Graph dbs, 3 RDF graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, RDF ontologies, schemas, LLMs, document processing, Docling, LlamaParse, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular TypeScript frontends, FastAPI backend, REST API, MCP Server
Python search AI KG Knowledge Graph GraphRAG hybrid-search LLMs genai llamaindex langchain Document pro... Docling LlamaParse mcp MCP-server RDF ontologies Graph Databases neo4j ArcadeDB falkordb LadyBug Ontotext Gra... fuseki Oxigraph vector-database opensearch Elasticsearch React vue Angular TypeScript RAG alfresco Amazon S3 Azure Blob Google GCS SharePoint box auto-syncUpdated -
Repository for when CWRC Ontologies migration to using Docusaurus. (Old repo: https://github.com/cwrc/ontology)
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Scientific knowledge representation, knowledge that originated from well designed experiments and sound statistical analysis. The dynamics of knowledge and the different levels of reliability are intended to be modeled.
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The O4OA is the ontological grounding that supports The Framework for Ontology Characterization (F4OA) and a solution called O4Onto Suite.
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The Framework for Ontology Characterization (F4OA) composes a reference ontology called O4OA, that is its ontological grounding that supports the framework and models solution toll called O4Onto Suite.
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Ontology services tool-kit
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