#vectordatabases — Public Fediverse posts

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.

To maximize accuracy, you need to:
➤ Add BM25
➤ Fuse with Reciprocal Rank Fusion (RRF)
➤ Consider a cross-encoder re-ranking stage

📰 Read the #InfoQ article by Aaditya Chauhan for more information: https://bit.ly/4o8GnoZ

#AI #GenerativeAI #LLMs #VectorDatabases

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.

To maximize accuracy, you need to:
➤ Add BM25
➤ Fuse with Reciprocal Rank Fusion (RRF)
➤ Consider a cross-encoder re-ranking stage

📰 Read the #InfoQ article by Aaditya Chauhan for more information: https://bit.ly/4o8GnoZ

#AI #GenerativeAI #LLMs #VectorDatabases

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.

To maximize accuracy, you need to:
➤ Add BM25
➤ Fuse with Reciprocal Rank Fusion (RRF)
➤ Consider a cross-encoder re-ranking stage

📰 Read the #InfoQ article by Aaditya Chauhan for more information: https://bit.ly/4o8GnoZ

#AI #GenerativeAI #LLMs #VectorDatabases

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.

To maximize accuracy, you need to:
➤ Add BM25
➤ Fuse with Reciprocal Rank Fusion (RRF)
➤ Consider a cross-encoder re-ranking stage

📰 Read the #InfoQ article by Aaditya Chauhan for more information: https://bit.ly/4o8GnoZ

#AI #GenerativeAI #LLMs #VectorDatabases

If you are running a #RAG pipeline on embeddings alone, you are leaving retrieval quality on the table.

To maximize accuracy, you need to:
➤ Add BM25
➤ Fuse with Reciprocal Rank Fusion (RRF)
➤ Consider a cross-encoder re-ranking stage

📰 Read the #InfoQ article by Aaditya Chauhan for more information: https://bit.ly/4o8GnoZ

#AI #GenerativeAI #LLMs #VectorDatabases

🤔
The paper studies what happens when embedding based systems replace many memories, vectors, or retrieved passages with only a few representatives. The central claim: the same spectral structure that governs forgetting under retrieval noise also governs consolidation under compression: efficiency is increasingly becoming a question of representation geometry rather than brute force scaling alone.

https://github.com/niashwin/geometry-of-consolidation/blob/main/paper/arxiv/main.pdf
#AIInfrastructure #RAG #LLM #ArtificialIntelligence #VectorDatabases

🤔
The paper studies what happens when embedding based systems replace many memories, vectors, or retrieved passages with only a few representatives. The central claim: the same spectral structure that governs forgetting under retrieval noise also governs consolidation under compression: efficiency is increasingly becoming a question of representation geometry rather than brute force scaling alone.

https://github.com/niashwin/geometry-of-consolidation/blob/main/paper/arxiv/main.pdf
#AIInfrastructure #RAG #LLM #ArtificialIntelligence #VectorDatabases

🤔
The paper studies what happens when embedding based systems replace many memories, vectors, or retrieved passages with only a few representatives. The central claim: the same spectral structure that governs forgetting under retrieval noise also governs consolidation under compression: efficiency is increasingly becoming a question of representation geometry rather than brute force scaling alone.

https://github.com/niashwin/geometry-of-consolidation/blob/main/paper/arxiv/main.pdf
#AIInfrastructure #RAG #LLM #ArtificialIntelligence #VectorDatabases

🤔
The paper studies what happens when embedding based systems replace many memories, vectors, or retrieved passages with only a few representatives. The central claim: the same spectral structure that governs forgetting under retrieval noise also governs consolidation under compression: efficiency is increasingly becoming a question of representation geometry rather than brute force scaling alone.

https://github.com/niashwin/geometry-of-consolidation/blob/main/paper/arxiv/main.pdf
#AIInfrastructure #RAG #LLM #ArtificialIntelligence #VectorDatabases

🤔
The paper studies what happens when embedding based systems replace many memories, vectors, or retrieved passages with only a few representatives. The central claim: the same spectral structure that governs forgetting under retrieval noise also governs consolidation under compression: efficiency is increasingly becoming a question of representation geometry rather than brute force scaling alone.

https://github.com/niashwin/geometry-of-consolidation/blob/main/paper/arxiv/main.pdf
#AIInfrastructure #RAG #LLM #ArtificialIntelligence #VectorDatabases

#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.

• Trained on 32M query–product pairs
• Uses contrastive learning
• Improves semantic search, ranking, and advertising relevance

More details here ⇨ https://bit.ly/41fhrl3

#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ

#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.

• Trained on 32M query–product pairs
• Uses contrastive learning
• Improves semantic search, ranking, and advertising relevance

More details here ⇨ https://bit.ly/41fhrl3

#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ

#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.

• Trained on 32M query–product pairs
• Uses contrastive learning
• Improves semantic search, ranking, and advertising relevance

More details here ⇨ https://bit.ly/41fhrl3

#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ

#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.

• Trained on 32M query–product pairs
• Uses contrastive learning
• Improves semantic search, ranking, and advertising relevance

More details here ⇨ https://bit.ly/41fhrl3

#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ

#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.

• Trained on 32M query–product pairs
• Uses contrastive learning
• Improves semantic search, ranking, and advertising relevance

More details here ⇨ https://bit.ly/41fhrl3

#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ

Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home

https://techlife.blog/posts/database-systems-2025/ #databases

#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases

Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home

https://techlife.blog/posts/database-systems-2025/ #databases

#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases

Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home

https://techlife.blog/posts/database-systems-2025/ #databases

#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases

Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home

https://techlife.blog/posts/database-systems-2025/ #databases

#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases

Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home

https://techlife.blog/posts/database-systems-2025/ #databases

#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases

Amazon S3 Vectors is now GA!

AWS introduces a “Storage-First” architecture that decouples compute from storage, cutting TCO by up to 90% for large-scale RAG workloads.

With this GA release, S3 Vectors:
• Boosts per-index capacity 40× to 2 billion vectors
• Delivers sub-100ms query latencies

More on #InfoQ 👉 https://bit.ly/4ppNAQD

#CloudComputing #AI #VectorDatabases #RAG #AWS #S3

Amazon S3 Vectors is now GA!

AWS introduces a “Storage-First” architecture that decouples compute from storage, cutting TCO by up to 90% for large-scale RAG workloads.

With this GA release, S3 Vectors:
• Boosts per-index capacity 40× to 2 billion vectors
• Delivers sub-100ms query latencies

More on #InfoQ 👉 https://bit.ly/4ppNAQD

#CloudComputing #AI #VectorDatabases #RAG #AWS #S3

Amazon S3 Vectors is now GA!

AWS introduces a “Storage-First” architecture that decouples compute from storage, cutting TCO by up to 90% for large-scale RAG workloads.

With this GA release, S3 Vectors:
• Boosts per-index capacity 40× to 2 billion vectors
• Delivers sub-100ms query latencies

More on #InfoQ 👉 https://bit.ly/4ppNAQD

#CloudComputing #AI #VectorDatabases #RAG #AWS #S3

Amazon S3 Vectors is now GA!

AWS introduces a “Storage-First” architecture that decouples compute from storage, cutting TCO by up to 90% for large-scale RAG workloads.

With this GA release, S3 Vectors:
• Boosts per-index capacity 40× to 2 billion vectors
• Delivers sub-100ms query latencies

More on #InfoQ 👉 https://bit.ly/4ppNAQD

#CloudComputing #AI #VectorDatabases #RAG #AWS #S3

Amazon S3 Vectors is now GA!

AWS introduces a “Storage-First” architecture that decouples compute from storage, cutting TCO by up to 90% for large-scale RAG workloads.

With this GA release, S3 Vectors:
• Boosts per-index capacity 40× to 2 billion vectors
• Delivers sub-100ms query latencies

More on #InfoQ 👉 https://bit.ly/4ppNAQD

#CloudComputing #AI #VectorDatabases #RAG #AWS #S3

Swiggy launches Hermes V3 – a GenAI-powered text-to-SQL assistant.

Built to operate within #Slack, it uses vector retrieval, session memory, agentic orchestration & an explanation layer to generate accurate SQL queries.

🔗 https://bit.ly/49rSM0C

#AI #LLMs #Chatbots #VectorDatabases #SoftwareArchitecture #InfoQ

Swiggy launches Hermes V3 – a GenAI-powered text-to-SQL assistant.

Built to operate within #Slack, it uses vector retrieval, session memory, agentic orchestration & an explanation layer to generate accurate SQL queries.

🔗 https://bit.ly/49rSM0C

#AI #LLMs #Chatbots #VectorDatabases #SoftwareArchitecture #InfoQ

Swiggy launches Hermes V3 – a GenAI-powered text-to-SQL assistant.

Built to operate within #Slack, it uses vector retrieval, session memory, agentic orchestration & an explanation layer to generate accurate SQL queries.

🔗 https://bit.ly/49rSM0C

#AI #LLMs #Chatbots #VectorDatabases #SoftwareArchitecture #InfoQ

Swiggy launches Hermes V3 – a GenAI-powered text-to-SQL assistant.

Built to operate within #Slack, it uses vector retrieval, session memory, agentic orchestration & an explanation layer to generate accurate SQL queries.

🔗 https://bit.ly/49rSM0C

#AI #LLMs #Chatbots #VectorDatabases #SoftwareArchitecture #InfoQ

Swiggy launches Hermes V3 – a GenAI-powered text-to-SQL assistant.

Built to operate within #Slack, it uses vector retrieval, session memory, agentic orchestration & an explanation layer to generate accurate SQL queries.

🔗 https://bit.ly/49rSM0C

#AI #LLMs #Chatbots #VectorDatabases #SoftwareArchitecture #InfoQ

via @dotnet : Generative AI with Large Language Models in C# in 2026

https://ift.tt/ikxf7Ej
#GenerativeAI #LargeLanguageModels #CSharp #AI2026 #OpenAI #Microsoft #Azure #SemanticKernel #MachineLearning #AIExtensions #VectorDatabases #DotNet #AIInnovation #ChatGP…

via @dotnet : Generative AI with Large Language Models in C# in 2026

https://ift.tt/ikxf7Ej
#GenerativeAI #LargeLanguageModels #CSharp #AI2026 #OpenAI #Microsoft #Azure #SemanticKernel #MachineLearning #AIExtensions #VectorDatabases #DotNet #AIInnovation #ChatGP…

via @dotnet : Generative AI with Large Language Models in C# in 2026

https://ift.tt/ikxf7Ej
#GenerativeAI #LargeLanguageModels #CSharp #AI2026 #OpenAI #Microsoft #Azure #SemanticKernel #MachineLearning #AIExtensions #VectorDatabases #DotNet #AIInnovation #ChatGP…

via @dotnet : Generative AI with Large Language Models in C# in 2026

https://ift.tt/ikxf7Ej
#GenerativeAI #LargeLanguageModels #CSharp #AI2026 #OpenAI #Microsoft #Azure #SemanticKernel #MachineLearning #AIExtensions #VectorDatabases #DotNet #AIInnovation #ChatGP…

via @dotnet : Generative AI with Large Language Models in C# in 2026

https://ift.tt/ikxf7Ej
#GenerativeAI #LargeLanguageModels #CSharp #AI2026 #OpenAI #Microsoft #Azure #SemanticKernel #MachineLearning #AIExtensions #VectorDatabases #DotNet #AIInnovation #ChatGP…

AI Skills 2025: LangChain, RAG & MLOps—The Complete Guide

https://techlife.blog/posts/ai-skills-2025-langchain-rag-mlops-guide/

#LangChain #RAG #MLOps #LangGraph #DeepAgents #Kubernetes #VectorDatabases #ChromaDB #Weaviate #Pinecone #MLflow

AI Skills 2025: LangChain, RAG & MLOps—The Complete Guide

https://techlife.blog/posts/ai-skills-2025-langchain-rag-mlops-guide/

#LangChain #RAG #MLOps #LangGraph #DeepAgents #Kubernetes #VectorDatabases #ChromaDB #Weaviate #Pinecone #MLflow

Oh, you wanna play newspaper tycoon with your own lil' RAG? 🤓 How quaint! Here's a riveting tale of nerds turning Skald into a privacy utopia because nothing screams fun like vector databases and #LLMs. 🙄 Spoiler alert: proprietary APIs are faster, but who needs speed when you have open-source purity, right? 🚀
https://blog.yakkomajuri.com/blog/local-rag #newspaperTycoon #privacyUtopia #vectorDatabases #openSource #HackerNews #ngated

Oh, you wanna play newspaper tycoon with your own lil' RAG? 🤓 How quaint! Here's a riveting tale of nerds turning Skald into a privacy utopia because nothing screams fun like vector databases and #LLMs. 🙄 Spoiler alert: proprietary APIs are faster, but who needs speed when you have open-source purity, right? 🚀
https://blog.yakkomajuri.com/blog/local-rag #newspaperTycoon #privacyUtopia #vectorDatabases #openSource #HackerNews #ngated

Oh, you wanna play newspaper tycoon with your own lil' RAG? 🤓 How quaint! Here's a riveting tale of nerds turning Skald into a privacy utopia because nothing screams fun like vector databases and #LLMs. 🙄 Spoiler alert: proprietary APIs are faster, but who needs speed when you have open-source purity, right? 🚀
https://blog.yakkomajuri.com/blog/local-rag #newspaperTycoon #privacyUtopia #vectorDatabases #openSource #HackerNews #ngated

Oh, you wanna play newspaper tycoon with your own lil' RAG? 🤓 How quaint! Here's a riveting tale of nerds turning Skald into a privacy utopia because nothing screams fun like vector databases and #LLMs. 🙄 Spoiler alert: proprietary APIs are faster, but who needs speed when you have open-source purity, right? 🚀
https://blog.yakkomajuri.com/blog/local-rag #newspaperTycoon #privacyUtopia #vectorDatabases #openSource #HackerNews #ngated

Replicate joins Cloudflare in a massive bet on the future of developer friendly AI

https://web.brid.gy/r/https://nerds.xyz/2025/11/replicate-joins-cloudflare/

Replicate joins Cloudflare in a massive bet on the future of developer friendly AI

https://web.brid.gy/r/https://nerds.xyz/2025/11/replicate-joins-cloudflare/

Replicate joins Cloudflare in a massive bet on the future of developer friendly AI

https://web.brid.gy/r/https://nerds.xyz/2025/11/replicate-joins-cloudflare/

Replicate joins Cloudflare in a massive bet on the future of developer friendly AI

https://web.brid.gy/r/https://nerds.xyz/2025/11/replicate-joins-cloudflare/

Explore how #RetrievalAugmentedGeneration & #SemanticCaching can reduce #FalsePositives in AI-powered apps.

Insights come from a production-grade #CaseStudy testing 1,000 queries across 7 bi-encoder models.

📰 Read now: https://bit.ly/4nTPmso

#AI #LLMs #RAG #VectorDatabases #Infrastructure

Explore how #RetrievalAugmentedGeneration & #SemanticCaching can reduce #FalsePositives in AI-powered apps.

Insights come from a production-grade #CaseStudy testing 1,000 queries across 7 bi-encoder models.

📰 Read now: https://bit.ly/4nTPmso

#AI #LLMs #RAG #VectorDatabases #Infrastructure

Explore how #RetrievalAugmentedGeneration & #SemanticCaching can reduce #FalsePositives in AI-powered apps.

Insights come from a production-grade #CaseStudy testing 1,000 queries across 7 bi-encoder models.

📰 Read now: https://bit.ly/4nTPmso

#AI #LLMs #RAG #VectorDatabases #Infrastructure

Explore how #RetrievalAugmentedGeneration & #SemanticCaching can reduce #FalsePositives in AI-powered apps.

Insights come from a production-grade #CaseStudy testing 1,000 queries across 7 bi-encoder models.

📰 Read now: https://bit.ly/4nTPmso

#AI #LLMs #RAG #VectorDatabases #Infrastructure

Explore how #RetrievalAugmentedGeneration & #SemanticCaching can reduce #FalsePositives in AI-powered apps.

Insights come from a production-grade #CaseStudy testing 1,000 queries across 7 bi-encoder models.

📰 Read now: https://bit.ly/4nTPmso

#AI #LLMs #RAG #VectorDatabases #Infrastructure

MySQL AI Introduced for Enterprise Edition

Oracle has recently announced MySQL AI, a new set of AI-powered capabilities available exclusively in the MySQL Enterprise…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Artificialintelligence #AI #ArtificialIntelligence #development #GenerativeAI #ML&DataEngineering #MySQL #mysqlaioracle #OpenSource #oracle #Technology #vectordatabases
https://www.newsbeep.com/us/185754/

MySQL AI Introduced for Enterprise Edition

Oracle has recently announced MySQL AI, a new set of AI-powered capabilities available exclusively in the MySQL Enterprise…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Artificialintelligence #AI #ArtificialIntelligence #development #GenerativeAI #ML&DataEngineering #MySQL #mysqlaioracle #OpenSource #oracle #Technology #vectordatabases
https://www.newsbeep.com/us/185754/

🔍 Optimiertes Retrieval = bessere Antworten!

Auf der #BaselOne25 zeigt Ursula Deriu, wie man RAG-Systeme mit hybrider Suche, Reranking, Anfrageerweiterung & Vektor-Datenbanken optimiert 🚀 Erwartet Best Practices, Stolperfallen & praxisnahe Strategien.

📅 16. Okt | Markthalle Basel
🎟️ Tickets: https://eventfrog.ch/BaselOne2025
📌 Programm mit @kevindubois, @ixchelruiz & @aalmiray: https://baselone.org/#programm

👉 Sichere Dir Dein Ticket & sei live dabei!

#BaselOne25 #AI #RAG #VectorDatabases

🔍 Optimiertes Retrieval = bessere Antworten!

Auf der #BaselOne25 zeigt Ursula Deriu, wie man RAG-Systeme mit hybrider Suche, Reranking, Anfrageerweiterung & Vektor-Datenbanken optimiert 🚀 Erwartet Best Practices, Stolperfallen & praxisnahe Strategien.

📅 16. Okt | Markthalle Basel
🎟️ Tickets: https://eventfrog.ch/BaselOne2025
📌 Programm mit @kevindubois, @ixchelruiz & @aalmiray: https://baselone.org/#programm

👉 Sichere Dir Dein Ticket & sei live dabei!

#BaselOne25 #AI #RAG #VectorDatabases

🔍 Optimiertes Retrieval = bessere Antworten!

Auf der #BaselOne25 zeigt Ursula Deriu, wie man RAG-Systeme mit hybrider Suche, Reranking, Anfrageerweiterung & Vektor-Datenbanken optimiert 🚀 Erwartet Best Practices, Stolperfallen & praxisnahe Strategien.

📅 16. Okt | Markthalle Basel
🎟️ Tickets: https://eventfrog.ch/BaselOne2025
📌 Programm mit @kevindubois, @ixchelruiz & @aalmiray: https://baselone.org/#programm

👉 Sichere Dir Dein Ticket & sei live dabei!

#BaselOne25 #AI #RAG #VectorDatabases

🔍 Optimiertes Retrieval = bessere Antworten!

Auf der #BaselOne25 zeigt Ursula Deriu, wie man RAG-Systeme mit hybrider Suche, Reranking, Anfrageerweiterung & Vektor-Datenbanken optimiert 🚀 Erwartet Best Practices, Stolperfallen & praxisnahe Strategien.

📅 16. Okt | Markthalle Basel
🎟️ Tickets: https://eventfrog.ch/BaselOne2025
📌 Programm mit @kevindubois, @ixchelruiz & @aalmiray: https://baselone.org/#programm

👉 Sichere Dir Dein Ticket & sei live dabei!

#BaselOne25 #AI #RAG #VectorDatabases

🚀 NEW on We ❤️ Open Source 🚀

Jessica Garson shares how vector databases go beyond keywords to power semantic search, embeddings & smarter AI workflows. A practical intro to RAG & context-aware apps.

Read the article: https://allthingsopen.org/articles/vector-databases-semantic-search-ai

#WeLoveOpenSource #VectorDatabases #AI #SemanticSearch #MachineLearning #OpenSource

🚀 NEW on We ❤️ Open Source 🚀

Jessica Garson shares how vector databases go beyond keywords to power semantic search, embeddings & smarter AI workflows. A practical intro to RAG & context-aware apps.

Read the article: https://allthingsopen.org/articles/vector-databases-semantic-search-ai

#WeLoveOpenSource #VectorDatabases #AI #SemanticSearch #MachineLearning #OpenSource

🚀 NEW on We ❤️ Open Source 🚀

Jessica Garson shares how vector databases go beyond keywords to power semantic search, embeddings & smarter AI workflows. A practical intro to RAG & context-aware apps.

Read the article: https://allthingsopen.org/articles/vector-databases-semantic-search-ai

#WeLoveOpenSource #VectorDatabases #AI #SemanticSearch #MachineLearning #OpenSource

🚀 NEW on We ❤️ Open Source 🚀

Jessica Garson shares how vector databases go beyond keywords to power semantic search, embeddings & smarter AI workflows. A practical intro to RAG & context-aware apps.

Read the article: https://allthingsopen.org/articles/vector-databases-semantic-search-ai

#WeLoveOpenSource #VectorDatabases #AI #SemanticSearch #MachineLearning #OpenSource