Semantic Search Engine for Documents

The project involved the development of an advanced semantic search engine for an international law firm, capable of managing and indexing hundreds of thousands of legal documents. The solution is based on an indexing framework with automated processes, ensuring the knowledge base is constantly updated and information is immediately available.To optimize content analysis, the system integrates a Large Language Model (LLM) that automates the interpretation and classification of documents, improving the accuracy and speed of searches. Indexing is handled by Apache Solr, an open-source engine known for its speed and reliability in managing large volumes of data. Thanks to this approach, the law firm can quickly retrieve relevant information, reduce research times, and more effectively support advice and strategic decisions, increasing operational efficiency and the quality of service provided to clients.