Effortless data insights with semantic search & graph queries

Using natural language to explore databases unlocks new opportunities for non-technical users. This tool, built with Neo4j and LangChain, combines semantic search and graph queries to provide intuitive, code-free access to data insights.

Enhancing legal document copilot accuracy with RAG

I recently explored how to leverage large language models for legal document creation while maintaining their original precision and relevance. A widely-used solution is RAG (Retrieval Augmented Generation) that allows AI to access and use specific document repositories when generating responses.