This project is a comprehensive guide and framework for large language model prompt engineering. It provides a collection of techniques and patterns for optimizing model responses through structured system prompts, context management, and a variety of implementation patterns. The project focuses on several specialized domains, including the creation of autonomous agents through reasoning loops and the implementation of retrieval augmented generation to inject semantic context into prompts. It also provides methods for enforcing structured outputs in serialization formats like JSON or YAML for
Instructor-embedding is a natural language processing framework designed to transform unstructured text into high-dimensional numerical vectors. By utilizing a transformer-based encoder architecture, the system facilitates semantic retrieval, data classification, and similarity analysis across large datasets. The framework distinguishes itself through instruction-conditioned vector projection, which incorporates natural language instructions directly into the embedding process to improve performance for specific tasks without requiring additional training. It functions as a contrastive learni
Elasticsearch integrations for ActiveModel/Record and Ruby on Rails
Ruby integrations for Elasticsearch
A Ruby client for Apache Solr
الميزات الرئيسية لـ rsolr/rsolr هي: Full Text Search and Retrieval.
تشمل البدائل مفتوحة المصدر لـ rsolr/rsolr: brexhq/prompt-engineering — This project is a comprehensive guide and framework for large language model prompt engineering. It provides a… xlang-ai/instructor-embedding — Instructor-embedding is a natural language processing framework designed to transform unstructured text into… elastic/elasticsearch-rails — Elasticsearch integrations for ActiveModel/Record and Ruby on Rails. elastic/elasticsearch-ruby — Ruby integrations for Elasticsearch. pat/thinking-sphinx — Sphinx/Manticore plugin for ActiveRecord/Rails. sunspot/sunspot — Solr-powered search for Ruby objects.