In summary, this post showcases an implementation of RAG (Retrieval-Analysis-Generation) techniques combining graph databases and LLMs running entirely in a browser environment utilizing KuzuDB’s Wasm version. Users can upload their LinkedIn data dump to query personal graphs with generated Cypher queries from OpenAI’s Llama model. Although some limitations exist, such as slower token generation rates and struggles with complex queries requiring joins or aggregation, the potential for future improvements in LLMs, WebGPU integration, Wasm64 support, and native vector indexes within KuzuDB is promising. Ultimately, this demonstrates how advanced pipelines can be executed locally while maintaining data privacy.
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