#full-text search

PaperQA2 is a reliable tool designed for high-precision retrieval and generation from PDFs and text files, focusing on scientific content. It utilizes document metadata-awareness and advanced implementation techniques like LLM-based ranking and contextual summarization, ensuring informed responses with citations. Equipped with agentic workflows, PaperQA2 supports iterative querying and data collection. The updated version includes a command-line interface and enhanced compatibility with LiteLLM for extensive model use. Suitable for those in need of dependable, customizable solutions for scientific literature review.

A network resilient full-text search library that offers efficient indexing and querying capabilities for both browser and Node.js environments. It allows seamless document addition and retrieval, supporting robust search functionalities. As an open-source project, it provides comprehensive documentation and community support, including API references and a browser demo, making it suitable for developers in need of a reliable search tool.

Manticore Search is a high-performance open source search database renowned for its rapid data retrieval and cost-effectiveness, providing a compelling alternative to Elasticsearch and MySQL. Utilizing a modern multithreading architecture and efficient query parallelization, it optimally utilizes CPU cores for swift response times. Manticore supports SQL as its native syntax with MySQL protocol compatibility, allowing seamless integration with languages such as PHP, Python, and JavaScript. Key features include full-text search, relevance ranking, geo-spatial search, and vector search. It also offers robust security, data synchronization capabilities, and handles datasets of all sizes efficiently, making it a versatile tool for various search applications.