Knowledge extraction with deterministic LLMs for transforming notes into knowledge graphs
Uses deterministic LLMs for knowledge extraction
Upload notes and content to be decomposed into nodes and connections
Extract relevant information from a comprehensive knowledge graph
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#Development & CodeCognee.ai is an AI tool that offers knowledge extraction and structuring capabilities. Users can upload their notes or content, which is then decomposed into nodes and connections. The tool appends this information to an existing knowledge graph and can navigate and extract relevant bits of information when queried.
- Deterministic LLM Outputs: Provides consistent and predictable outputs in production environments.
- Easy Integration: Simple installation through pip with 'pip install cognee' and straightforward file integration using 'cognee.add("file://{file_path}")'.
- Knowledge Extraction: Decomposes uploaded information into nodes and connections for better knowledge representation.
- Knowledge Graph: Maintains and appends to an existing knowledge graph, preserving connections with relevant nodes.
- Intelligent Querying: Navigates and extracts relevant information to structure coherent outputs.
- Plug and Play: Seamlessly integrates with keepi.ai for enhanced functionality.
- Enhanced RAG Applications: Tests adjustable parameters like document quantity and chunk size to refine applications.
- Human-Like Understanding: Focuses on organizing memory elements to mimic human cognitive processes.
- Graph Databases Optimization: Utilizes advanced memory architecture for efficient data management.
Cognee.ai
Knowledge extraction with deterministic LLMs for transforming notes into knowledge graphs
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