Explore the integration of Elasticsearch and OpenAI embeddings in creating advanced QA systems. This blog delves into semantic search’s nuances, leveraging vector embeddings for contextual understanding, and discusses the superiority of cosine similarity in high-dimensional spaces for semantic relevance. Discover how these technologies combine to enhance QA capabilities.
A virtual environment in Python is a self-contained directory tree that includes a Python installation and a number of additional packages. Its main purpose is to keep dependencies required by different projects in separate places, by creating isolated python virtual environments for them. This is one of the most effective tools to manage dependencies and avoid conflicts between project requirements.