SemanticScuttle - klotz.me

Tags: search* + machine learning*

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1. Dictionary: Vespa to Elasticsearch, OpenSearch, Solr

   A mapping of Vespa terminology to equivalent concepts in Elasticsearch, OpenSearch, and Solr.

   2024-08-19 Tags: vespa, elasticsearch, opensearch, solr, search, vector database, machine learning by klotz
2. Answer: How can we find the best way to track developments in AI?

   This blog post discusses strategies for staying up-to-date on the rapidly evolving field of AI, covering resources, tools, and techniques for tracking news, research, and developments.

   2024-07-22 Tags: ai, artificial intelligence, machine learning, search, dan russell by klotz
3. SemanticFinder - Frontend-only Semantic Search with transformers.js

   2023-11-03 Tags: llm, semantic, search, embedding, cosine similarity, browser by klotz
4. Yahoo spin-out Vespa lands $31M investment from Blossom | TechCrunch

   2023-11-01 Tags: yahoo, vespa, search, vector database, elasticsearch, tfidf, machine learning by klotz
5. Graph Learning for Exploratory Query Suggestions in an Instant Search System - Spotify Research : Spotify Research

   2023-10-30 Tags: search, discovery, query suggestion, auto suggest, graph, node2vec, embedding, naive users, mounia lalmas, spotify, research by klotz
6. From RAGs to Riches 10 Applications of vector search to deeply understand your data and models

   Image Similarity Search
   Reverse Image Search
   Object Similarity Search
   Robust OCR Document Search
   Semantic Search
   Cross-modal Retrieval
   Probing Perceptual Similarity
   Comparing Model Representations
   Concept Interpolation
   Concept Space Traversal
   Image Similarity Search

   2023-10-26 Tags: llm, rag, similarity, vision, document, search, machine learning by klotz
7. LLM vector search

   2023-06-23 Tags: llm, vector, search, embedding, python by klotz
8. OpenAI Question Answering using Embedding and LLM

   LangChain has many advanced retrieval methods to help address these challenges. (1) Multi representation indexing: Create a document representation (like a summary) that is well-suited for retrieval (read about this using the Multi Vector Retriever in a blog post from last week). (2) Query transformation: in this post, we'll review a few approaches to transform humans questions in order to improve retrieval. (3) Query construction: convert human question into a particular query syntax or language, which will be covered in a future post

   2024-05-06 Tags: openai, llm, embedding, search by klotz
9. Rocchio algorithm - Wikipedia

   2022-03-15 Tags: rocchio, algorithm, wikipedia, search, relevance, dcg, embedding by klotz
10. LinkedIn Study Applies Deep NLP to Improve Search Systems | by Synced | SyncedReview | Aug, 2021 | Medium

    2021-10-03 Tags: search, search engine, autocomplete, named entity recognition, query classification, ranking, deep learning, nlp, linkedin by klotz

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