Spring AI: Seamlessly Integrating AI into Enterprise Java Applications
Integrate AI into Java enterprise apps using Spring AI. Learn key concepts, develop AI applications rapidly, and explore practical use cases like semantic search and RAG patterns.
Large Language Models and Future of Information Retrieval: Opportunities and Challenges - Lecture 1
Explore the impact of large language models on information retrieval, discussing future opportunities and challenges in search technology.
Generative Retrieval via Term Set Generation - The Future of Search with LLMs
Explore generative retrieval techniques using term set generation for advanced search capabilities with large language models.
What's New in Cognitive Search and Cool Frameworks with PyTorch - Episode 5
Explore Azure Cognitive Search's semantic capabilities, PyTorch frameworks, and a Rock Paper Scissors project in this informative session covering AI advancements and practical applications.
Private Retrieval-Augmented Generation: Secure Search Systems for LLMs
Explore secure Retrieval-Augmented Generation through Compass, a cryptographic system enabling private semantic search with high accuracy while protecting sensitive data and queries.
Neo4J: Knowledge Graph, Semantic Search, and Topic Extraction with Langchain and Phi3 - Part 1
Aprende a crear una base de conocimientos gráfica con Neo4J, extrayendo temas y palabras clave de textos mediante Langchain y el modelo Phi3 de Microsoft.
FAISS - Introduction to Similarity Search
Explore efficient similarity search with Facebook AI Similarity Search (FAISS). Learn implementation, options, and how FAISS enhances semantic search speed.
Building an Image Search Service from Scratch - Matthew Rubashkin, PhD - ODSC West 2018
Learn to build a semantic image search model from scratch, covering representation techniques for image and text data, and efficient similarity search methods for datasets of any size.
Building Machine Learning Solutions with Python - Code Walkthrough
Develop a semantic search tool for YouTube videos using Python, focusing on experimentation, evaluation, and UI building in machine learning solutions.
Hybrid Search with Apache Solr
Explore hybrid search in Apache Solr, combining lexical and neural approaches. Learn techniques, pros/cons, and future developments for enhanced search capabilities.
Recent Developments in Neural Search
Explore cutting-edge neural methods for semantic search, improving text search quality with pre-trained transformer networks and advanced deployment techniques.
Building the Ultimate Hybrid Search with Qdrant - A Hands-on Tutorial
Master advanced semantic search techniques by transforming dense embedding pipelines into hybrid systems with Qdrant's latest features, including ColBERT models and universal search endpoints.
Superpower Your Semantic Search Using Vector Database - From Model Architecture to Deployment
Discover how to enhance matching systems using vector databases, focusing on implementation, deployment, and optimization for improved search performance and scalability in production environments.
Building a Semantic Search App for Music Using Qdrant Cloud
Learn to develop a semantic search application using Qdrant Cloud's Python SDK to efficiently search through thousands of songs across different music genres.
Image Classification with Qdrant Vector Semantic Search for Medical Diagnosis
Learn to build an image-based semantic search engine for skin condition diagnosis using Qdrant, covering embedding generation and vector database implementation.
Natural Language Processing with Qdrant for Vector Similarity Search
Master vector similarity search using Qdrant to create embeddings from text data, perform contextual searches, and build recommendation systems for enhanced natural language processing applications.
Getting Started with Qdrant - Introduction to Vector Database and Similarity Search
Master vector similarity search using Qdrant to build semantic search and recommendation systems through hands-on practice with sample datasets and practical implementations.
Supercharging Semantic Search with Pinecone and Cohere
Discover how to enhance semantic search applications using Pinecone and Cohere. Learn to create, index, and utilize sentence embeddings for various use cases through an interactive demonstration.
Hybrid Search Walkthrough in Pinecone
Explore hybrid search in Pinecone, combining semantic and keyword search techniques for efficient data retrieval. Learn preprocessing, index creation, and various query methods.
How to Build a Q&A Reader Model in Python - Open-Domain QA
Learn to build an open-domain question-answering system in Python, covering data preprocessing and model fine-tuning for efficient information retrieval from large datasets.
AI-Powered Semantic Search with Cassandra: Today and Tomorrow
Explore AI-driven semantic search using Apache Cassandra, integrating Python and fastText for vector search. Learn current capabilities and future enhancements for efficient natural language processing and AI data solutions.