Semantic Search with PostgreSQL and OpenAI Embeddings

Semantic Search with PostgreSQL and OpenAI Embeddings AI News, AI, AI tools, Dima Timofeev, Innovation, itinai.com, LLM, t.me/itinai, Towards Data Science - Medium 🔍 Implementing Semantic Search with PostgreSQL and OpenAI Embeddings 🔍 Are you looking to implement semantic search within your corporate databases? Look no further! In this article, we'll show you how to use PostgreSQL and OpenAI Embeddings to easily implement semantic search on your data. Plus, we'll provide you with free embedding models if you prefer not to use the OpenAI Embeddings API. 🔑 Word Embeddings: Understanding the Basics 🔑 Word embeddings are powerful tools that represent words as dense vectors in a vector space. These vectors capture semantic relationships between words, enabling semantic search on your data. 💡 OpenAI's Text-Embedding-Ada Model 💡 To generate word embeddings, we recommend using OpenAI's text-embedding-ada model. Don't worry too much about the distance function, but OpenAI suggests using cosine similarity for best results. 💾 Storing Embeddings in a Database 💾 Once you have your word or document embeddings, you'll need a vector database to store and search them efficiently. We recommend using pgvector, an open-source PostgreSQL extension that enables vector similarity search functionalities. 🚀 Practical Applications of Semantic Search 🚀 Semantic search goes beyond just text data. It can be applied to sound, video, and image data as well. Imagine the possibilities for corporate searches, medical record systems, and similarity calculations across different types of data. 🔁 Evolve Your Company with AI and Semantic Search 🔁 Ready to take your company to the next level? Consider implementing Semantic Search with PostgreSQL and OpenAI Embeddings. Here's how to get started: 1️⃣ Identify Automation Opportunities: Find key customer interaction points that can benefit from AI. 2️⃣ Define KPIs: Ensure your AI initiatives have measurable impacts on business outcomes. 3️⃣ Select an AI Solution: Choose tools that align with your needs and allow for customization. 4️⃣ Implement Gradually: Start with a pilot, collect data, and expand AI usage wisely. 💼 Spotlight on a Practical AI Solution: AI Sales Bot 💼 Discover how AI can transform your sales processes and customer engagement with our AI Sales Bot. It automates customer interactions 24/7 and manages interactions across all stages of the customer journey. Learn more about our AI Sales Bot solution at itinai.com/aisalesbot. 🔗 Useful Links 🔗 🔹 AI Lab in Telegram @aiscrumbot – free consultation 🔹 Semantic Search with PostgreSQL and OpenAI Embeddings 🔹 Towards Data Science – Medium 🔹 Twitter – @itinaicom For advice on AI KPI management or to stay updated on leveraging AI, connect with us at hello@itinai.com or follow us on Telegram at t.me/itinainews and Twitter @itinaicom.