Similarity Search with PostgreSQL

📹 VIDEO TITLE 📹 Similarity Search with PostgreSQL ✍️VIDEO DESCRIPTION ✍️ In this video, we delve into the fascinating world of similarity search using PostgreSQL, a powerful tool for AI applications. Similarity search is a technique used to find data points that are similar to a given query, which is essential for applications like recommendation systems and image retrieval. We explore how PostgreSQL can be transformed into a vector database, making it a versatile tool for handling high-dimensional vector data. This transformation is crucial for efficient similarity search operations, allowing you to leverage PostgreSQL's capabilities for advanced data analysis and decision-making. The video provides a step-by-step guide on implementing similarity search with PostgreSQL, starting with the necessary Python code dependencies. You'll learn how to set up your environment by installing the `psycopg2-binary` package and enabling vector data types in PostgreSQL. We then walk you through creating a database table with a vector column, which serves as the foundation for your similarity search system. By following these steps, you'll be able to store and query vector data efficiently, making similarity search accessible and practical for various applications. Finally, we demonstrate how to insert and query data using Python and SQL, highlighting the importance of matching embedding dimensions for accurate results. With the right setup and tools, implementing similarity search with PostgreSQL is straightforward and efficient. Join us as we unlock the potential of PostgreSQL as a vector database and explore its transformative impact on data analysis. 🧑‍💻GITHUB URL 🧑‍💻 https://github.com/NewMachinaLLM/video_001475 📽OTHER NEW MACHINA VIDEOS REFERENCED IN THIS VIDEO 📽 Build an MP Neuron with PyTorch - https://youtu.be/L6FrRQEe3GY LangChain versus LangGraph - https://youtu.be/JaCSgQtziMA Chroma versus Pinecone Vector Database - https://youtu.be/EtR6BWrCbMQ What is the Chroma Vector Database ? - https://youtu.be/qn738hVKJe4 RAG with OpenAI & Pinecone Vector Database ? - https://youtu.be/IuXVTJm-iF8 What are LLM Function Calls ? - https://youtu.be/Nh6qoBnreBc Embeddings with Open AI & Pinecone Vector Database - https://youtu.be/GgeoyzWBrSI What is Hugging Face? - https://youtu.be/QvO4EnN905Y RAG vs Fine-Tuning - https://youtu.be/AJmlg7rdmLA What is RAG ? - https://youtu.be/SDsY9hHS9Qo What is the Perceptron? - https://youtu.be/UeKxO-Sk0wE What is the MP Neuron? - https://youtu.be/MBSHhsvaTjs What is Physical AI ? - https://youtu.be/Xya21TpCog0 What is the Turing Test ? - https://youtu.be/wXMLF54AUwU What is LLM Alignment ? - https://youtu.be/nYX73hSDEqo What are Agentic Workflows? - https://youtu.be/CwLAtLyFiTM Why is AI going Nuclear? - https://youtu.be/eFYy1UYzdZg What is Synthetic Data? - https://youtu.be/34n9DxFqFc0 What is NLP? - https://youtu.be/C528qW0Zr8k What is Open Router? - https://youtu.be/pfT6l0yMsB0 What is Sentiment Analysis? - https://youtu.be/hkmAuBWhiXs SDK(s) in Pinecone Vector DB - https://youtu.be/ttnPUbiLjv0 Pinecone Vector DB POD(s) vs Serverless - https://youtu.be/t7qpxjTTccc Meta Data Filters in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M Namespaces in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M Fetches & Queries in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M Upserts & Deletes in Pinecone Vector DB - https://youtu.be/ztXrf88sX-M What is a Pineconde Index - https://youtu.be/IHm0-WBELTI What is the Pinecone Vector DB - https://youtu.be/IHm0-WBELTI What is LLM LangGraph ? - https://youtu.be/w4U3gG_C4VY AWS Lambda + Anthropic Claude - https://youtu.be/WaxYMhNsCAk What is Llama Index ? - https://youtu.be/vz3Z2XETpGM LangChain HelloWorld with Open GPT 3.5 - https://youtu.be/tD335RLNYJQ Forget about LLMs What About SLMs - https://youtu.be/Pn7a35dQq2s What are LLM Presence and Frequency Penalties? - https://youtu.be/J66CRz6s734 Can LLMs Reason over Large Inputs ? - https://youtu.be/nCVjjXPIrxc What is the LLM’s Context Window? - https://youtu.be/y5wBbDSe0cM What is LLM Chain of Thought Prompting? - https://youtu.be/Lwn88e17u4k Algorithms for Search Similarity - https://youtu.be/jaJd9IFlVCA How LLMs use Vector Databases - https://youtu.be/1GT6ctTyXFo What are LLM Embeddings ? - https://youtu.be/UShw_1NbpCw How LLM’s are Driven by Vectors - https://youtu.be/Yl_ebS_jWZM What is 0, 1, and Few Shot LLM Prompting ? - https://youtu.be/ckQPDM-97dM What are the LLM’s Top-P and TopK ? - https://youtu.be/aDmp2Uim0zQ 🔠KEYWORDS 🔠 #SimilaritySearch #PostgreSQL #VectorDatabase #AIApplications #HighDimensionalData #Python #psycopg2 #VectorData #Embedding #SQL #DataStorage #DataQuerying #MachineLearning #DataRetrieval #EmbeddingDimensions #DataManagement #AIEngineering #SystemDesign #EfficientSearch #IntelligentRetrieval