Search Results for: Vector Database

Table of Contents Build a Search Engine: Setting Up AWS OpenSearch Introduction What Is AWS OpenSearch? What AWS OpenSearch Is Commonly Used For Key Features of AWS OpenSearch How Does AWS OpenSearch Work? Why Use AWS OpenSearch for Semantic Search?…

Table of Contents Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH) What Is Locality Sensitive Hashing (LSH)? Mathematical Foundation of LSH How LSH Works SimHash: LSH for Vector Databases Random Projection Computing Binary Fingerprint Creating Hash Table Mathematical Trade-Off Querying…

Table of Contents Integrating Local LLM Frameworks: A Deep Dive into LM Studio and AnythingLLM Introduction to Local Large Language Models (LLMs) Exploring LM Studio and AnythingLLM: Interact with Your Documents Like Never Before Next Steps in Local LLM Integration…

Table of Contents Harnessing Power at the Edge: An Introduction to Local Large Language Models Introduction to Large Language Models (LLMs) What Are Large Language Models? Historical Context and Technological Evolution The Development of OpenAI’s Generative Pre-Trained Transformers Key Training…

Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? Why Are We Using Vector Embeddings? What’s Coming Next? Configuring Your Development Environment Installing Docker (Required for…

Table of Contents FastAPI Meets OpenAI CLIP: Build and Deploy with Docker Building on FastAPI Foundations What’s Next? What Is OpenAI CLIP? How OpenAI CLIP Works: Understanding Text-Image Matching and Contrastive Learning Contrastive Pre-Training: Aligning Text and Image Embeddings Shared…

Table of Contents Chat with Graphic PDFs: Understand How AI PDF Summarizers Work The Challenge of Processing Complex PDFs Layout Complexity Table and Figure Recognition Mathematical and Special Characters Enter the World of Multimodal Models The Power of RAG Key…

Table of Contents Implementing Approximate Nearest Neighbor Search with KD-Trees Introduction to Approximate Nearest Neighbor Search Mathematical Foundation KD-Trees for Approximate Nearest Neighbor Search Construction of KD-Trees Querying with KD-Trees Step 1: Forward Traversal Step 2: Computing the Best Estimate…

Table of Contents Build a Network Intrusion Detection System with Variational Autoencoders Understanding Network Intrusion and the Role of Anomaly Detection What Is Network Intrusion? Importance and Necessity for Advanced IDS Autoencoders for Anomaly Detection What Are Autoencoders? Autoencoders as…