
Gal Shubeli developed and consolidated documentation and integration features for graph database and knowledge graph workflows across the FalkorDB/docs and cocoindex-io/cocoindex repositories. In FalkorDB/docs, Gal unified SDK documentation, improved LLM integration guides, and enhanced onboarding materials using Markdown and Python, focusing on clarity and developer usability. For cocoindex-io/cocoindex, Gal implemented a Rust-based integration enabling CocoIndex to build knowledge graphs from document corpora using FalkorDB, including connection specifications and data extraction logic. The work demonstrated depth in SDK development, environment configuration, and backend integration, resulting in smoother developer experiences and expanded data-to-knowledge capabilities without introducing reported bugs.
February 2026: Delivered FalkorDB Knowledge Graph Target integration as a new target for building knowledge graphs from documents within CocoIndex. Implemented connection specifications, data extraction logic, and example usage to demonstrate FalkorDB integration with the existing CocoIndex framework (commit 7cb4d71fe7682702205169259fc20da05df01b56). Major bugs fixed: None reported. Business impact: expands data source coverage and accelerates creation of knowledge graphs from document corpora, enabling richer insights and faster data-to-knowledge workflows. Technologies and skills demonstrated: backend integration, knowledge-graph construction, data extraction pipelines, API/SDK usage, and repository contribution workflow.
February 2026: Delivered FalkorDB Knowledge Graph Target integration as a new target for building knowledge graphs from documents within CocoIndex. Implemented connection specifications, data extraction logic, and example usage to demonstrate FalkorDB integration with the existing CocoIndex framework (commit 7cb4d71fe7682702205169259fc20da05df01b56). Major bugs fixed: None reported. Business impact: expands data source coverage and accelerates creation of knowledge graphs from document corpora, enabling richer insights and faster data-to-knowledge workflows. Technologies and skills demonstrated: backend integration, knowledge-graph construction, data extraction pipelines, API/SDK usage, and repository contribution workflow.
July 2025 performance-focused monthly summary for FalkorDB/docs: Delivered a comprehensive consolidation of GraphRAG SDK documentation, LLM integrations, and Graphiti/FalkorDB setup guidance. Scope included installation and usage guides, integration references (LangChain, LangGraph, LlamaIndex), Graphiti integration notes, quick-start improvements, refined index/wordlists, and cosmetic readability enhancements.
July 2025 performance-focused monthly summary for FalkorDB/docs: Delivered a comprehensive consolidation of GraphRAG SDK documentation, LLM integrations, and Graphiti/FalkorDB setup guidance. Scope included installation and usage guides, integration references (LangChain, LangGraph, LlamaIndex), Graphiti integration notes, quick-start improvements, refined index/wordlists, and cosmetic readability enhancements.

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