Llama Index 101 with Vector DBs and GPT 3.5
Explore Llama-index with Pinecone vector database for semantic search and LLM retrieval augmentation. Learn about Documents, Nodes, vectorstore objects, and making queries in this practical tutorial.
Large Language Models Bootcamp Information Session
Comprehensive introduction to building LLM-powered applications, covering foundations, advanced techniques, and hands-on projects. Ideal for AI enthusiasts and professionals seeking practical skills in generative AI.
Vector Search - A Gentle Introduction - Zain Hasan
Explore vector search technology, its applications in semantic search and recommendation systems, and learn about implementing real-time vector search with CRUD support for production-scale ML models.
Vector Search- Powering the Next Generation of Applications
Explore Vector Search in MongoDB Atlas, learn core concepts, embedding techniques, and use cases. Includes a demo on vectorizing, inserting, and querying data for semantic similarity.
Next-Level Learning - Semantic Search & Generative AI in Education
Discover how semantic search and generative AI revolutionize education, enhancing personalized learning experiences and addressing challenges in EdTech for improved student outcomes.
Vector-Based Methods for Similarity Search - TF-IDF, BM25, SBERT
Explore three vector-based approaches for language comparison and document similarity: TF-IDF, BM25, and Sentence-BERT. Learn key techniques for building effective search engines in AI and machine learning.
Cohere AI's LLM for Semantic Search in Python
Learn to implement semantic search using Cohere's LLM for generating embeddings and Pinecone for vector indexing. Explore practical applications in NLP and efficient text data search.
OpenAI's New GPT 3.5 Embedding Model for Semantic Search
Learn to use OpenAI's new embedding model for semantic search, including API integration, vector indexing with Pinecone, and implementing search queries for NLP applications.
NER Powered Semantic Search in Python
Learn to implement NER-powered semantic search in Python using Transformers, Sentence Transformers, and Pinecone. Explore dataset preparation, entity creation, embedding generation, and querying techniques for efficient information retrieval.
Using Semantic Search to Find GIFs
Learn to build a GIF search engine using semantic search, exploring data preparation, vector databases, and querying techniques for more accurate and context-aware results.
Vector Search in Retail
Explore vector search applications in retail, including product recognition and recommendations, with insights on overcoming challenges and leveraging tools like NVIDIA Merlin and Pinecone for impactful implementations.
Search Like You Mean It - Semantic Search with NLP and a Vector Database
Explore semantic search using NLP and vector databases in this hands-on workshop. Learn to build efficient search applications with practical examples and expert insights.
Building Knowledge Graphs
Explore the power of knowledge graphs in data management, their applications, and strategies for successful implementation in semantic search, recommendation systems, and data fabric.
Semantic Search: Revolutionizing Information Retrieval - Nils Reimers
Explore semantic search's power to enhance retrieval accuracy using pre-trained transformer networks. Learn how it overcomes lexical limitations and improves multilingual search efficiency across 100+ languages.
Memoro: Using Large Language Models for Real-Time Memory Augmentation
Explore Memoro, a wearable audio-based memory assistant using LLMs for minimal disruption in real-time conversations, enhancing recall confidence and reducing device interaction time.
Retrieval Augmentation and Semantic Search at Scale
Explore vector search, retrieval-augmented generation, and scaling challenges. Learn from benchmarks, AI pre-training experiments, and serving billions of vectors. Discover optimal GPU choices and efficient search result serving methods.
Vector Embeddings for Semantic Search Made Easy with Practical Tips
Explore vector embeddings for semantic search, learning techniques to create meaningful representations, efficient similarity search algorithms, and practical strategies for enhanced information retrieval.
Generative AI for Data Platforms - Cutting to the Chase
Explore AI-infused lakehouses: integrating generative AI with data platforms for enhanced code generation, natural language queries, and semantic search. Includes live demo of IoT event processing.
Vector Search at Uber - Implementing and Scaling KNN Search with Apache Lucene
Explore Uber's implementation of Vector Search using Apache Lucene, enabling semantic search and Gen AI support. Learn about HNSW algorithm integration, live vector updates, and scalability optimizations.
Go Limitless - with Azure Data & AI
Discover Azure's latest innovations in data and AI services, offering limitless scale and possibilities for hybrid data, analytics, AI democratization, and data governance.
Semantic Search through the Complete Wikipedia with Weaviate’s GraphQL API
Explore semantic search capabilities using Weaviate's GraphQL API to navigate the entire Wikipedia dataset, enhancing information retrieval and knowledge discovery.