HNSW for Vector Search Explained and Implemented with Faiss - Python
Demystifying HNSW algorithm for vector similarity search, explaining its foundations, implementation with Faiss, and optimization techniques for top-performing indexes in approximate nearest neighbor searches.
Metadata Filtering for Vector Search - Latest Filter Tech
Explore advanced metadata filtering techniques for vector search, including pre-filtering, post-filtering, and single-stage filtering. Learn to implement efficient filters on massive datasets using Pinecone's solution.
Vector Similarity Search
Explore vector similarity search, its applications in deep learning, and how it revolutionizes search across text, multimedia, and recommendations. Learn from industry experts about implementation and future possibilities.
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.
Wikipedia Vector Search Demo with Weaviate
Explore semantic search through Wikipedia using Weaviate, featuring demos of vector search, question answering, and applications in various domains like protein folding and natural language processing.
Search with Vectors - Simon Hughes
Explore vector-based search techniques and their applications in modern information retrieval systems for improved accuracy and efficiency.
Vector Search and Embeddings in Organizations - Harnessing Language Models and Vector Indexing
Explore vector search, embeddings, and indexing with experts. Learn to leverage large language models for NLP tasks and implement solutions using vector databases in various environments.
ElasticON Public Sector - The Search for Relevance with Vector Search
Explore vector search in public sector applications, enabling semantic queries with text, images, and audio. Learn about intelligent discovery and NLP integration in Elastic's search solutions.
Vector Search in Elasticsearch 8
Explore vector search in Elasticsearch 8, covering basics, indexing, efficient search algorithms, and machine learning model integration for advanced similarity-based applications.
Vector Search Isn't Enough
Explore how combining vector search, generative AI, and traditional search approaches with enriched content and secure data retrieval can enhance commercial applications of Large Language 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.
ElasticON EMEA - The Search for Relevance with Vector Search
Explore vector search in Elastic, enabling semantic queries for text, images, and audio. Learn about new intelligent discovery methods and combining vector with traditional search techniques.
Pinecone's New Hybrid Search - The Future of Search?
Explore Pinecone's hybrid search, combining vector and traditional methods for improved relevance and adaptability in semantic search and information retrieval.
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.
Composite Indexes and the Faiss Index Factory
Explore composite indexes and Faiss Index Factory for optimizing vector search performance, balancing recall, latency, and memory usage in similarity search applications.
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.
Recommending the Right Product to Users - JSON Mode without Function Calling
Explore building a GPT-powered sales agent using JSON mode, with and without RAG, to recommend products based on user preferences through natural conversation.
Vector Search and State-of-the-Art Retrieval for Generative AI Apps
Explore vector search, hybrid search, and reranking models for improved knowledge retrieval in Generative AI apps. Includes live code demos and evaluation insights on retrieval quality.
Bring Your App into the AI-Age with Weaviate and Docker - DockerCon 2023
Explore integrating AI capabilities into your applications using Weaviate and Docker. Learn about vector databases, LLMs, and overcoming hallucination through Retrieval Augmented Generation for AI-powered features.
Enter the Brave New World of GenAI with Vector Search
Explore GenAI's evolution, key concepts, and the role of Vector Search in this new era of computing. Learn about LLMs, NLP, and Vector DBs, with a demo showcasing Vector Search implementation.