Using the Wolfram Stack and LLM Tech to Combat Misinformation on SDGs and ESG
Leverage Wolfram's LLM tech and core tools to combat misinformation on SDGs and ESG investing, building effective solutions for accurate information dissemination.
Query: A Functional Programming Construct in the Wolfram Language
Demystify the Query function and learn to use it effectively as a functional programming tool in the Wolfram Language.
Where Vector Search is Taking Us
Explore vector search options, components, and future prospects with industry expert Dmitry Kan in this keynote address from Haystack EU 2022.
Lowering the Entry Threshold for Neural Vector Search - Applying Similarity Learning
Explore similarity learning for efficient neural search implementation, reducing data requirements and training time while addressing domain-specific challenges.
Data Labeling for Search Relevance Evaluation
Explore data labeling techniques for search relevance evaluation, focusing on human-in-the-loop pipelines, ranking metrics, and crowdsourcing best practices.
Vectorize Your E-commerce Search
Discover how vector search enhances e-commerce, solving misspellings and boosting relevance. Learn about Chorus's new vector capabilities for improved search experiences.
Effective Relevancy Change Management in Search Systems
Explore effective search relevancy change management techniques for continuous improvement in search systems and feature engineering.
Relevance in the Age of Generative Search - Haystack US 2023 Keynote
Explore the integration of generative AI in search, covering strategies, code examples, and the balance between AI capabilities and traditional relevance techniques for accurate results.
Populating and Leveraging Semantic Knowledge Graphs to Supercharge Search
Populate and leverage semantic knowledge graphs to enhance search capabilities, enabling concept-based queries, query expansion, and improved long-tail query matching for reduced zero-result searches.
Exploiting Citation Networks in Large Corpora to Improve Relevance on Broad Queries
Discover how to leverage citation networks in large legal databases to improve search relevance for broad queries, enhancing user experience and document ranking accuracy.
Talking to Non-Searchers about Search Relevance - Haystack US 2023
Learn effective strategies for explaining search relevance to non-technical stakeholders, from CEOs to clients. Gain insights on communicating complex search concepts and their importance.
Relevance in the Age of Generative Search - Haystack US 2023 Keynote
Explore strategies for integrating generative AI and language models into search applications, balancing accuracy and relevance while leveraging new capabilities in the evolving search landscape.
Learning to Hybrid Search: Combining BM25, Neural Embeddings, and Customer Behavior
Combine BM25, neural embeddings, and customer behavior for ultimate ranking. Compare traditional, LTR, and neural search approaches in e-commerce using Amazon's ESCI dataset.
Better Semantic Search with Hybrid Sparse-Dense Search - Haystack US 2023
Explore hybrid search techniques combining sparse and dense embedding models to enhance semantic search accuracy and effectiveness in various scenarios.
Enterprise Search Relevance at Box: Simplicity
Explore Box's approach to delivering relevant search results across diverse enterprises using Solr and TensorFlow Ranking, balancing simplicity with privacy and security.
AI Search and Generative Answers with Open-Source NucliaDB
Explore AI-powered search engines with Nuclia's API, featuring generative answers and open-source NucliaDB technology.
Reciprocal Rank Fusion (RRF) - How to Stop Worrying about Boosting - Lecture
Explore Reciprocal Rank Fusion (RRF) for combining search results, its advantages over boosting, and implementation in various systems. Learn from Philipp Krenn's expertise in search technology.
Beyond the Known: Exploratory and Diversity Search with Vector Embeddings - Haystack EU 2023
Explore innovative strategies for exploratory and diverse search using vector embeddings, enhancing user experiences beyond traditional search paradigms.
Navigating Neural Search: Avoiding Common Pitfalls
Explore neural search, text embedding models, and vector retrieval. Learn to choose models based on language, task alignment, accuracy, and cost-effectiveness. Understand potential pitfalls in embedding retrieval.
Mastering Hybrid Search: Blending Classic Ranking with Vector Search - Haystack EU 2023
Explore hybrid search systems combining classic ranking and vector search. Learn best practices for enhancing relevancy, managing performance-accuracy tradeoffs, and scaling to production.
Can Search Results be Fair? - Haystack On Tour Austin
Explore fairness in search results with NIST Scientist Emeritus Ellen Voorhees, discussing challenges and potential solutions in information retrieval systems.