2 个仓库
Tools for constructing knowledge graphs with incremental updates and high-performance graph queries.
Distinct from Knowledge Graph Builders: Distinct from Knowledge Graph Builders: adds real-time incremental updates and query performance as primary design goals.
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Cocoindex is an incremental data processing engine that builds and maintains live indexes for AI agents, with a core focus on codebase indexing and knowledge graph extraction. The engine uses a function-graph execution model where user-defined Python functions are composed into a directed acyclic graph, and it processes data incrementally so only changed source records or code paths are re-computed, avoiding full recomputation at any scale. It supports automatic schema inference from transformation pipeline type annotations and provides full data lineage tracing, tagging every output record wi
Builds real-time knowledge graphs with incremental updates and high-performance graph queries from documents.
CodeGraphContext is a code graph indexer and visualization tool that analyzes source code to build graphs of functions, classes, and inheritance relationships. It functions as a Model Context Protocol server, providing a structured codebase index to AI assistants for context retrieval and natural language querying. The project features an interactive web interface that uses force-directed layouts to visualize code dependencies and symbols. To accelerate the setup of large projects, it supports the import of pre-calculated knowledge bundles for popular repositories. The system provides capabi
Provides real-time updates to the code knowledge graph in response to file system modifications.