#semanticsearch — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #semanticsearch, aggregated by home.social.
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Watch Now: https://zurl.co/9qezZ
What Are Vector Search Data Actions in Salesforce Data Cloud? Complete Guide
#Salesforce #SalesforceDataCloud #VectorSearch #DataActions #Agentforce #SalesforceAI #GenerativeAI #SemanticSearch #DataCloud #SalesforceDeveloper #CRM #ArtificialIntelligence #AI #SalesforceTutorial #SalesforceTraining #DataEngineering #VectorDatabase #RetrievalAugmentedGeneration #RAG #PeopleWooSkills
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Watch Now: https://zurl.co/9qezZ
What Are Vector Search Data Actions in Salesforce Data Cloud? Complete Guide
#Salesforce #SalesforceDataCloud #VectorSearch #DataActions #Agentforce #SalesforceAI #GenerativeAI #SemanticSearch #DataCloud #SalesforceDeveloper #CRM #ArtificialIntelligence #AI #SalesforceTutorial #SalesforceTraining #DataEngineering #VectorDatabase #RetrievalAugmentedGeneration #RAG #PeopleWooSkills
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Watch Now: https://zurl.co/9qezZ
What Are Vector Search Data Actions in Salesforce Data Cloud? Complete Guide
#Salesforce #SalesforceDataCloud #VectorSearch #DataActions #Agentforce #SalesforceAI #GenerativeAI #SemanticSearch #DataCloud #SalesforceDeveloper #CRM #ArtificialIntelligence #AI #SalesforceTutorial #SalesforceTraining #DataEngineering #VectorDatabase #RetrievalAugmentedGeneration #RAG #PeopleWooSkills
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Watch Now: https://zurl.co/9qezZ
What Are Vector Search Data Actions in Salesforce Data Cloud? Complete Guide
#Salesforce #SalesforceDataCloud #VectorSearch #DataActions #Agentforce #SalesforceAI #GenerativeAI #SemanticSearch #DataCloud #SalesforceDeveloper #CRM #ArtificialIntelligence #AI #SalesforceTutorial #SalesforceTraining #DataEngineering #VectorDatabase #RetrievalAugmentedGeneration #RAG #PeopleWooSkills
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Watch Now: https://zurl.co/9qezZ
What Are Vector Search Data Actions in Salesforce Data Cloud? Complete Guide
#Salesforce #SalesforceDataCloud #VectorSearch #DataActions #Agentforce #SalesforceAI #GenerativeAI #SemanticSearch #DataCloud #SalesforceDeveloper #CRM #ArtificialIntelligence #AI #SalesforceTutorial #SalesforceTraining #DataEngineering #VectorDatabase #RetrievalAugmentedGeneration #RAG #PeopleWooSkills
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Last Week on My Mac: Spotlight’s eternal quest
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Last Week on My Mac: Spotlight’s eternal quest
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Last Week on My Mac: Spotlight’s eternal quest
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Last Week on My Mac: Spotlight’s eternal quest
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Last Week on My Mac: Spotlight’s eternal quest
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Semantic/Hybrid Search in the Browser
https://bart.degoe.de/semantic-search-in-your-browser/
Comments: https://news.ycombinator.com/item?id=48871716
#HackerNews #semanticsearch #hybridsearch #browsertechnology #webdevelopment #searchengineoptimization
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Semantic/Hybrid Search in the Browser
https://bart.degoe.de/semantic-search-in-your-browser/
Comments: https://news.ycombinator.com/item?id=48871716
#HackerNews #semanticsearch #hybridsearch #browsertechnology #webdevelopment #searchengineoptimization
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Semantic/Hybrid Search in the Browser
https://bart.degoe.de/semantic-search-in-your-browser/
Comments: https://news.ycombinator.com/item?id=48871716
#HackerNews #semanticsearch #hybridsearch #browsertechnology #webdevelopment #searchengineoptimization
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Semantic/Hybrid Search in the Browser
https://bart.degoe.de/semantic-search-in-your-browser/
Comments: https://news.ycombinator.com/item?id=48871716
#HackerNews #semanticsearch #hybridsearch #browsertechnology #webdevelopment #searchengineoptimization
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Semantic/Hybrid Search in the Browser
https://bart.degoe.de/semantic-search-in-your-browser/
Comments: https://news.ycombinator.com/item?id=48871716
#HackerNews #semanticsearch #hybridsearch #browsertechnology #webdevelopment #searchengineoptimization
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Last Week on My Mac: Spotlight on semantics
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Last Week on My Mac: Spotlight on semantics
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Last Week on My Mac: Spotlight on semantics
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Last Week on My Mac: Spotlight on semantics
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Last Week on My Mac: Spotlight on semantics
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Exciting to see LA Referencia do semantic search:
"Search in your language. Discover research across languages."
(with a friendly reminder that semantic search leverages AI techniques including NLP, ML, and embeddings...)
https://la-referencia-ioi.github.io/lareferencia-semantic-demo/
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Exciting to see LA Referencia do semantic search:
"Search in your language. Discover research across languages."
(with a friendly reminder that semantic search leverages AI techniques including NLP, ML, and embeddings...)
https://la-referencia-ioi.github.io/lareferencia-semantic-demo/
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Exciting to see LA Referencia do semantic search:
"Search in your language. Discover research across languages."
(with a friendly reminder that semantic search leverages AI techniques including NLP, ML, and embeddings...)
https://la-referencia-ioi.github.io/lareferencia-semantic-demo/
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Exciting to see LA Referencia do semantic search:
"Search in your language. Discover research across languages."
(with a friendly reminder that semantic search leverages AI techniques including NLP, ML, and embeddings...)
https://la-referencia-ioi.github.io/lareferencia-semantic-demo/
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Exciting to see LA Referencia do semantic search:
"Search in your language. Discover research across languages."
(with a friendly reminder that semantic search leverages AI techniques including NLP, ML, and embeddings...)
https://la-referencia-ioi.github.io/lareferencia-semantic-demo/
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via @dotnet : Microsoft Agent Framework – Building Blocks for AI Part 3
https://ift.tt/CQUJ8zm
#MicrosoftAgentFramework #AIAgent #BuildingBlocksForAI #MEAI #MicrosoftExtensionsForAI #VectorData #RAG #SemanticSearch #AIinDotNet #AgentFramework #AIContextProvider … -
via @dotnet : Microsoft Agent Framework – Building Blocks for AI Part 3
https://ift.tt/CQUJ8zm
#MicrosoftAgentFramework #AIAgent #BuildingBlocksForAI #MEAI #MicrosoftExtensionsForAI #VectorData #RAG #SemanticSearch #AIinDotNet #AgentFramework #AIContextProvider … -
via @dotnet : Microsoft Agent Framework – Building Blocks for AI Part 3
https://ift.tt/CQUJ8zm
#MicrosoftAgentFramework #AIAgent #BuildingBlocksForAI #MEAI #MicrosoftExtensionsForAI #VectorData #RAG #SemanticSearch #AIinDotNet #AgentFramework #AIContextProvider … -
via @dotnet : Microsoft Agent Framework – Building Blocks for AI Part 3
https://ift.tt/CQUJ8zm
#MicrosoftAgentFramework #AIAgent #BuildingBlocksForAI #MEAI #MicrosoftExtensionsForAI #VectorData #RAG #SemanticSearch #AIinDotNet #AgentFramework #AIContextProvider … -
via @dotnet : Microsoft Agent Framework – Building Blocks for AI Part 3
https://ift.tt/CQUJ8zm
#MicrosoftAgentFramework #AIAgent #BuildingBlocksForAI #MEAI #MicrosoftExtensionsForAI #VectorData #RAG #SemanticSearch #AIinDotNet #AgentFramework #AIContextProvider … -
I spent some time trying to make search behavior visible in one small Quarkus app.
Full-text is good at exact terms. Vector search helps when user language and catalog language drift apart. Hybrid is usually the one I’d trust first in a real product search.
This article walks through all three with Quarkus, PostgreSQL, Elasticsearch, Hibernate Search, and local embeddings.
https://www.the-main-thread.com/p/full-text-vector-hybrid-search-quarkus-java
#Java #Quarkus #PostgreSQL #Elasticsearch #SemanticSearch #HibernateSearch #VectorSearch
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I spent some time trying to make search behavior visible in one small Quarkus app.
Full-text is good at exact terms. Vector search helps when user language and catalog language drift apart. Hybrid is usually the one I’d trust first in a real product search.
This article walks through all three with Quarkus, PostgreSQL, Elasticsearch, Hibernate Search, and local embeddings.
https://www.the-main-thread.com/p/full-text-vector-hybrid-search-quarkus-java
#Java #Quarkus #PostgreSQL #Elasticsearch #SemanticSearch #HibernateSearch #VectorSearch
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I spent some time trying to make search behavior visible in one small Quarkus app.
Full-text is good at exact terms. Vector search helps when user language and catalog language drift apart. Hybrid is usually the one I’d trust first in a real product search.
This article walks through all three with Quarkus, PostgreSQL, Elasticsearch, Hibernate Search, and local embeddings.
https://www.the-main-thread.com/p/full-text-vector-hybrid-search-quarkus-java
#Java #Quarkus #PostgreSQL #Elasticsearch #SemanticSearch #HibernateSearch #VectorSearch
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I spent some time trying to make search behavior visible in one small Quarkus app.
Full-text is good at exact terms. Vector search helps when user language and catalog language drift apart. Hybrid is usually the one I’d trust first in a real product search.
This article walks through all three with Quarkus, PostgreSQL, Elasticsearch, Hibernate Search, and local embeddings.
https://www.the-main-thread.com/p/full-text-vector-hybrid-search-quarkus-java
#Java #Quarkus #PostgreSQL #Elasticsearch #SemanticSearch #HibernateSearch #VectorSearch
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I spent some time trying to make search behavior visible in one small Quarkus app.
Full-text is good at exact terms. Vector search helps when user language and catalog language drift apart. Hybrid is usually the one I’d trust first in a real product search.
This article walks through all three with Quarkus, PostgreSQL, Elasticsearch, Hibernate Search, and local embeddings.
https://www.the-main-thread.com/p/full-text-vector-hybrid-search-quarkus-java
#Java #Quarkus #PostgreSQL #Elasticsearch #SemanticSearch #HibernateSearch #VectorSearch
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📚 Kilo Code Series #5: Codebase Indexing with Nomic & Qdrant!
Enable semantic AI search across your entire codebase.
📖 Read: https://devopstales.github.io/ai/kilo-code-series-05-indexing/?utm_source=twitter&utm_medium=social
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📚 Kilo Code Series #5: Codebase Indexing with Nomic & Qdrant!
Enable semantic AI search across your entire codebase.
📖 Read: https://devopstales.github.io/ai/kilo-code-series-05-indexing/?utm_source=twitter&utm_medium=social
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📚 Kilo Code Series #5: Codebase Indexing with Nomic & Qdrant!
Enable semantic AI search across your entire codebase.
📖 Read: https://devopstales.github.io/ai/kilo-code-series-05-indexing/?utm_source=twitter&utm_medium=social
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📚 Kilo Code Series #5: Codebase Indexing with Nomic & Qdrant!
Enable semantic AI search across your entire codebase.
📖 Read: https://devopstales.github.io/ai/kilo-code-series-05-indexing/?utm_source=twitter&utm_medium=social
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📚 Kilo Code Series #5: Codebase Indexing with Nomic & Qdrant!
Enable semantic AI search across your entire codebase.
📖 Read: https://devopstales.github.io/ai/kilo-code-series-05-indexing/?utm_source=twitter&utm_medium=social
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https://www.europesays.com/ie/384421/ Nothing updates its AI app with semantic search and a new way to track events #AI #ArtificialIntelligence #ArtificialIntelligence #Éire #IE #Ireland #SemanticSearch #Technology
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pg_semantic_cache: an open-source extension that enables semantic query result caching in #PostgreSQL. Traditional caching requires exact query matches; this extension uses vector embeddings to find and retrieve cached results for semantically similar queries.
✨ Give the project a try on GitHub (and don't forget to star the project while you're there): https://github.com/pgEdge/pg_semantic_cache
➡️ Read more: https://www.pgedge.com/blog/pg_semantic_cache-in-production-tags-eviction-monitoring-and-python-integration
#postgres #data #llm #semanticsearch #ai #aiengineering #opensourceai #opensource
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pg_semantic_cache: an open-source extension that enables semantic query result caching in #PostgreSQL. Traditional caching requires exact query matches; this extension uses vector embeddings to find and retrieve cached results for semantically similar queries.
✨ Give the project a try on GitHub (and don't forget to star the project while you're there): https://github.com/pgEdge/pg_semantic_cache
➡️ Read more: https://www.pgedge.com/blog/pg_semantic_cache-in-production-tags-eviction-monitoring-and-python-integration
#postgres #data #llm #semanticsearch #ai #aiengineering #opensourceai #opensource
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pg_semantic_cache: an open-source extension that enables semantic query result caching in #PostgreSQL. Traditional caching requires exact query matches; this extension uses vector embeddings to find and retrieve cached results for semantically similar queries.
✨ Give the project a try on GitHub (and don't forget to star the project while you're there): https://github.com/pgEdge/pg_semantic_cache
➡️ Read more: https://www.pgedge.com/blog/pg_semantic_cache-in-production-tags-eviction-monitoring-and-python-integration
#postgres #data #llm #semanticsearch #ai #aiengineering #opensourceai #opensource
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pg_semantic_cache: an open-source extension that enables semantic query result caching in #PostgreSQL. Traditional caching requires exact query matches; this extension uses vector embeddings to find and retrieve cached results for semantically similar queries.
✨ Give the project a try on GitHub (and don't forget to star the project while you're there): https://github.com/pgEdge/pg_semantic_cache
➡️ Read more: https://www.pgedge.com/blog/pg_semantic_cache-in-production-tags-eviction-monitoring-and-python-integration
#postgres #data #llm #semanticsearch #ai #aiengineering #opensourceai #opensource
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pg_semantic_cache: an open-source extension that enables semantic query result caching in #PostgreSQL. Traditional caching requires exact query matches; this extension uses vector embeddings to find and retrieve cached results for semantically similar queries.
✨ Give the project a try on GitHub (and don't forget to star the project while you're there): https://github.com/pgEdge/pg_semantic_cache
➡️ Read more: https://www.pgedge.com/blog/pg_semantic_cache-in-production-tags-eviction-monitoring-and-python-integration
#postgres #data #llm #semanticsearch #ai #aiengineering #opensourceai #opensource
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via @dotnet : Vector Data in .NET – Building Blocks for AI Part 2
https://ift.tt/VtJUvye
#VectorData #NET #AI #BuildingBlocks #SemanticSearch #RAG #Embedding #Embeddings #VectorDatabase #Qdrant #Redis #CosmosDB #SQLServer #PostgreSQL #SQLite #InMemory #VectorSto… -
via @dotnet : Vector Data in .NET – Building Blocks for AI Part 2
https://ift.tt/VtJUvye
#VectorData #NET #AI #BuildingBlocks #SemanticSearch #RAG #Embedding #Embeddings #VectorDatabase #Qdrant #Redis #CosmosDB #SQLServer #PostgreSQL #SQLite #InMemory #VectorSto… -
via @dotnet : Vector Data in .NET – Building Blocks for AI Part 2
https://ift.tt/VtJUvye
#VectorData #NET #AI #BuildingBlocks #SemanticSearch #RAG #Embedding #Embeddings #VectorDatabase #Qdrant #Redis #CosmosDB #SQLServer #PostgreSQL #SQLite #InMemory #VectorSto… -
via @dotnet : Vector Data in .NET – Building Blocks for AI Part 2
https://ift.tt/VtJUvye
#VectorData #NET #AI #BuildingBlocks #SemanticSearch #RAG #Embedding #Embeddings #VectorDatabase #Qdrant #Redis #CosmosDB #SQLServer #PostgreSQL #SQLite #InMemory #VectorSto… -
via @dotnet : Vector Data in .NET – Building Blocks for AI Part 2
https://ift.tt/VtJUvye
#VectorData #NET #AI #BuildingBlocks #SemanticSearch #RAG #Embedding #Embeddings #VectorDatabase #Qdrant #Redis #CosmosDB #SQLServer #PostgreSQL #SQLite #InMemory #VectorSto… -
Did you know? Our pgedge-vectorizer tool (on GitHub: https://github.com/pgEdge/pgedge-vectorizer) automatically chunks text content and generates vector embeddings with the help of background workers.
OpenAI, Voyage AI, and Ollama are supported as embedding providers, and a simple SQL interface allows you to enable vectorization on any table. (There’s even built-in views and functions for monitoring queue status.)
#github #opensource #semanticsearch #vector #vectordatabase #openai #ollama #voyageai
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Did you know? Our pgedge-vectorizer tool (on GitHub: https://github.com/pgEdge/pgedge-vectorizer) automatically chunks text content and generates vector embeddings with the help of background workers.
OpenAI, Voyage AI, and Ollama are supported as embedding providers, and a simple SQL interface allows you to enable vectorization on any table. (There’s even built-in views and functions for monitoring queue status.)
#github #opensource #semanticsearch #vector #vectordatabase #openai #ollama #voyageai
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Did you know? Our pgedge-vectorizer tool (on GitHub: https://github.com/pgEdge/pgedge-vectorizer) automatically chunks text content and generates vector embeddings with the help of background workers.
OpenAI, Voyage AI, and Ollama are supported as embedding providers, and a simple SQL interface allows you to enable vectorization on any table. (There’s even built-in views and functions for monitoring queue status.)
#github #opensource #semanticsearch #vector #vectordatabase #openai #ollama #voyageai
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via @dotnet : .NET AI Essentials – The Core Building Blocks Explained
https://ift.tt/CjSQkpt
#NET #DotNet #CSharp #AI #ArtificialIntelligence #MEAI #MicrosoftExtensionsAI #LLM #SemanticSearch #VectorData #Embeddings #AgentFramework #ModelContextProtocol #MCP #Mi… -
via @dotnet : .NET AI Essentials – The Core Building Blocks Explained
https://ift.tt/CjSQkpt
#NET #DotNet #CSharp #AI #ArtificialIntelligence #MEAI #MicrosoftExtensionsAI #LLM #SemanticSearch #VectorData #Embeddings #AgentFramework #ModelContextProtocol #MCP #Mi… -
via @dotnet : .NET AI Essentials – The Core Building Blocks Explained
https://ift.tt/CjSQkpt
#NET #DotNet #CSharp #AI #ArtificialIntelligence #MEAI #MicrosoftExtensionsAI #LLM #SemanticSearch #VectorData #Embeddings #AgentFramework #ModelContextProtocol #MCP #Mi… -
via @dotnet : .NET AI Essentials – The Core Building Blocks Explained
https://ift.tt/CjSQkpt
#NET #DotNet #CSharp #AI #ArtificialIntelligence #MEAI #MicrosoftExtensionsAI #LLM #SemanticSearch #VectorData #Embeddings #AgentFramework #ModelContextProtocol #MCP #Mi… -
via @dotnet : .NET AI Essentials – The Core Building Blocks Explained
https://ift.tt/CjSQkpt
#NET #DotNet #CSharp #AI #ArtificialIntelligence #MEAI #MicrosoftExtensionsAI #LLM #SemanticSearch #VectorData #Embeddings #AgentFramework #ModelContextProtocol #MCP #Mi… -
I'll be speaking at PHP Tek in May — two talks I've been building toward for a while.
**Kubernetes for PHP Developers**: The translation guide from Docker Compose to production K8s. No 40-hour course required.
**Semantic Search in Laravel**: Building search that understands meaning using pgvector and embeddings. Based on what I built for DailyMedToday.
Both talks from production experience, not theory.
Full details: https://eric.mann.blog/speaking-at-php-tek-2026/