Meta's Faiss v1.1.0 integrates with Nvidia's cuVS to supercharge vector search by slashing search latency by as much as 8.1x.
engineering.fb.com/2025/05/08/d...
engineering.fb.com/2025/05/08/d...
Accelerating GPU indexes in Faiss with NVIDIA cuVS
Meta and NVIDIA collaborated to accelerate vector search on GPUs by integrating NVIDIA cuVS into Faiss v1.10, Meta’s open source library for similarity search. This new implementation of cuVS will …
engineering.fb.com
May 9, 2025 at 4:26 AM
Meta's Faiss v1.1.0 integrates with Nvidia's cuVS to supercharge vector search by slashing search latency by as much as 8.1x.
engineering.fb.com/2025/05/08/d...
engineering.fb.com/2025/05/08/d...
RocksDB is getting FAISS secondary indexes! 🤯
Write-side support for FAISS IVF indices by ltamasi · Pull Request #13197 · facebook/rocksdb
Summary: The patch adds initial support for backing FAISS's inverted file based indices with data stored in RocksDB. It introduces a SecondaryIndex implementation called FaissIVFIndex which tak...
github.com
January 27, 2025 at 7:01 PM
RocksDB is getting FAISS secondary indexes! 🤯
Flash-KMeans
An IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS.
Paper: arxiv.org/abs/2603.09229
Code: github.com/svg-project/...
An IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS.
Paper: arxiv.org/abs/2603.09229
Code: github.com/svg-project/...
March 17, 2026 at 8:11 PM
Flash-KMeans
An IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS.
Paper: arxiv.org/abs/2603.09229
Code: github.com/svg-project/...
An IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS.
Paper: arxiv.org/abs/2603.09229
Code: github.com/svg-project/...
Sexy American Gladiators versions of AphroMighty and Captain Cannons as Faiss City Glad-I-Ate-Hers.
This was a sketch request from my monthly Suggestion Box on Patreon.
patreon.com/karmagik
This was a sketch request from my monthly Suggestion Box on Patreon.
patreon.com/karmagik
July 15, 2026 at 5:28 PM
Sexy American Gladiators versions of AphroMighty and Captain Cannons as Faiss City Glad-I-Ate-Hers.
This was a sketch request from my monthly Suggestion Box on Patreon.
patreon.com/karmagik
This was a sketch request from my monthly Suggestion Box on Patreon.
patreon.com/karmagik
Adding to our list, and it sounds like FAISS could help! It's an open source algorithm from Meta that's used in their hasher-matcher-actioner tool. cc @dcallies.bsky.social I'm flying the bat signal
ai.meta.com/tools/faiss/
ai.meta.com/tools/faiss/
Faiss
A library that allows developers to quickly search for embeddings of multimedia documents that are similar to each other.
ai.meta.com
February 11, 2025 at 10:13 AM
Adding to our list, and it sounds like FAISS could help! It's an open source algorithm from Meta that's used in their hasher-matcher-actioner tool. cc @dcallies.bsky.social I'm flying the bat signal
ai.meta.com/tools/faiss/
ai.meta.com/tools/faiss/
New paper from us: "A dataset of insect sounds from 459 species for bioacoustic machine learning", published in Scientific Data, led by Marius Faiß https://doi.org/10.1038/s41597-026-07123-4 #bioacoustics #datasets
A dataset of insect sounds from 459 species for bioacoustic machine learning - Scientific Data
Scientific Data - A dataset of insect sounds from 459 species for bioacoustic machine learning
www.nature.com
March 27, 2026 at 12:29 PM
New paper from us: "A dataset of insect sounds from 459 species for bioacoustic machine learning", published in Scientific Data, led by Marius Faiß https://doi.org/10.1038/s41597-026-07123-4 #bioacoustics #datasets
You don’t need crazy amounts of RAM to do exact kNN. We actually run it on a GPU with 40GB of RAM. We read the database in chunks and find top-k neighbors within the chunk using faiss. To find neighbors across the chunks faiss already has ResultHeap class that can aggregate and keep top-k overall
February 28, 2025 at 3:00 PM
You don’t need crazy amounts of RAM to do exact kNN. We actually run it on a GPU with 40GB of RAM. We read the database in chunks and find top-k neighbors within the chunk using faiss. To find neighbors across the chunks faiss already has ResultHeap class that can aggregate and keep top-k overall
Article très intéressant, très technique sur l'indexation et recherche de simularité avec FAISS (domaine #IA #data)
lajavaness.medium.com/indexation-e...
lajavaness.medium.com/indexation-e...
Indexation et recherche de similarité avec Faiss
Cet article a pour but d’expliquer quelques-uns des algorithmes de recherche de similarité implémentés dans faiss, une bibliothèque…
lajavaness.medium.com
October 31, 2025 at 11:32 AM
Article très intéressant, très technique sur l'indexation et recherche de simularité avec FAISS (domaine #IA #data)
lajavaness.medium.com/indexation-e...
lajavaness.medium.com/indexation-e...
🚀📝 Multi-Modal Content Processing with strands agent and FAISS Memory
#AWS #AI #MachineLearning #DevCommunity #TechInnovation
#AWS #AI #MachineLearning #DevCommunity #TechInnovation
Multi-Modal Content Processing with strands agent and FAISS Memory
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ...
ift.tt
July 30, 2025 at 8:43 AM
🚀📝 Multi-Modal Content Processing with strands agent and FAISS Memory
#AWS #AI #MachineLearning #DevCommunity #TechInnovation
#AWS #AI #MachineLearning #DevCommunity #TechInnovation
A new episode in the collaboration of the Disseminate Podcast and DuckDB is out now:
Arjen de Vries – faiss: An extension for vector data & search
🎧 Listen on Apple ➡️ podcasts.apple.com/us/podcast/d...
🎧 Listen on Spotify ➡️ open.spotify.com/show/6IQIF9o...
Arjen de Vries – faiss: An extension for vector data & search
🎧 Listen on Apple ➡️ podcasts.apple.com/us/podcast/d...
🎧 Listen on Spotify ➡️ open.spotify.com/show/6IQIF9o...
April 11, 2025 at 11:20 AM
A new episode in the collaboration of the Disseminate Podcast and DuckDB is out now:
Arjen de Vries – faiss: An extension for vector data & search
🎧 Listen on Apple ➡️ podcasts.apple.com/us/podcast/d...
🎧 Listen on Spotify ➡️ open.spotify.com/show/6IQIF9o...
Arjen de Vries – faiss: An extension for vector data & search
🎧 Listen on Apple ➡️ podcasts.apple.com/us/podcast/d...
🎧 Listen on Spotify ➡️ open.spotify.com/show/6IQIF9o...
Doing langchain agents and gradio because I have an interview tomorrow and I know it's going to use FAISS so I might as well have a gradio chat app ready to plug whatever we build into.
May 15, 2026 at 4:37 AM
Doing langchain agents and gradio because I have an interview tomorrow and I know it's going to use FAISS so I might as well have a gradio chat app ready to plug whatever we build into.
Juhl newwa sieh mei fäiß
Ohr hier de saunt of mei fiet
Weil dehrs e muhn owwa börbn strieht
(für @imalterfische.bsky.social )
2/2
Ohr hier de saunt of mei fiet
Weil dehrs e muhn owwa börbn strieht
(für @imalterfische.bsky.social )
2/2
September 11, 2026 at 10:22 PM
Juhl newwa sieh mei fäiß
Ohr hier de saunt of mei fiet
Weil dehrs e muhn owwa börbn strieht
(für @imalterfische.bsky.social )
2/2
Ohr hier de saunt of mei fiet
Weil dehrs e muhn owwa börbn strieht
(für @imalterfische.bsky.social )
2/2
Gud Moing Schmetterlinge!
Bims wieder af de Fäiss!
Dann fang ma de Woch halt am Irda a!
Habts an schäina Doch, bleibts xund und brav! 😇
Bims wieder af de Fäiss!
Dann fang ma de Woch halt am Irda a!
Habts an schäina Doch, bleibts xund und brav! 😇
August 19, 2025 at 3:35 AM
Gud Moing Schmetterlinge!
Bims wieder af de Fäiss!
Dann fang ma de Woch halt am Irda a!
Habts an schäina Doch, bleibts xund und brav! 😇
Bims wieder af de Fäiss!
Dann fang ma de Woch halt am Irda a!
Habts an schäina Doch, bleibts xund und brav! 😇
🚀 New video:
“Make Your Offline AI Model Talk to Local SQL”
A full RAG system using:
SQL Server
FAISS
SentenceTransformer
Local LLaMA via llama.cpp
🔌 All offline. All yours.
🎥 www.youtube.com/watch?v=3jFp...
#AI #Offline #RAG #FAISS #LLaMA #LLM
“Make Your Offline AI Model Talk to Local SQL”
A full RAG system using:
SQL Server
FAISS
SentenceTransformer
Local LLaMA via llama.cpp
🔌 All offline. All yours.
🎥 www.youtube.com/watch?v=3jFp...
#AI #Offline #RAG #FAISS #LLaMA #LLM
Make Your Offline AI Model Talk to Local SQL — Fully Private RAG with LLaMA + FAISS
YouTube video by Hassan Habib
www.youtube.com
June 16, 2025 at 4:02 AM
faissがついに（officialで）pip install可能になった。これはありがたい。
June 8, 2026 at 4:37 AM
faissがついに（officialで）pip install可能になった。これはありがたい。
Mistakes I Made While Using FAISS In Production(So You Don’t Have To) On paper, building a FAISS-based vector search system looks deceptively simple: Continue reading on Medium »
#software-engineering #faiss #backend-development #machine-learning #vector-database
Origin | Interest | Match
#software-engineering #faiss #backend-development #machine-learning #vector-database
Origin | Interest | Match
Awakari App
awakari.com
March 26, 2026 at 8:19 AM
Mistakes I Made While Using FAISS In Production(So You Don’t Have To) On paper, building a FAISS-based vector search system looks deceptively simple: Continue reading on Medium »
#software-engineering #faiss #backend-development #machine-learning #vector-database
Origin | Interest | Match
#software-engineering #faiss #backend-development #machine-learning #vector-database
Origin | Interest | Match
🚀 Introducing Lucene-on-Faiss
⚡ 2x boost in search throughput
💡 Decrease memory limitations
📖 Blog: opensearch.org/blog/lucene-...
#OpenSearch #VectorSearch #Lucene #Faiss #AI #GenerativeAI #ANN #SearchTech
⚡ 2x boost in search throughput
💡 Decrease memory limitations
📖 Blog: opensearch.org/blog/lucene-...
#OpenSearch #VectorSearch #Lucene #Faiss #AI #GenerativeAI #ANN #SearchTech
September 16, 2025 at 10:24 PM
🚀 Introducing Lucene-on-Faiss
⚡ 2x boost in search throughput
💡 Decrease memory limitations
📖 Blog: opensearch.org/blog/lucene-...
#OpenSearch #VectorSearch #Lucene #Faiss #AI #GenerativeAI #ANN #SearchTech
⚡ 2x boost in search throughput
💡 Decrease memory limitations
📖 Blog: opensearch.org/blog/lucene-...
#OpenSearch #VectorSearch #Lucene #Faiss #AI #GenerativeAI #ANN #SearchTech
...
LangChain and LangGraph
Retrieval-Augmented Generation (RAG)
Agentic AI / Multi-agent systems
Experience with vector databases (Pinecone, FAISS, Weaviate, etc.).
Strong knowledge of REST APIs, microservices architecture.
Experience with cloud platforms (AWS/Azure/GCP).
Pay? $52/hr
LangChain and LangGraph
Retrieval-Augmented Generation (RAG)
Agentic AI / Multi-agent systems
Experience with vector databases (Pinecone, FAISS, Weaviate, etc.).
Strong knowledge of REST APIs, microservices architecture.
Experience with cloud platforms (AWS/Azure/GCP).
Pay? $52/hr
February 19, 2026 at 10:09 PM
...
LangChain and LangGraph
Retrieval-Augmented Generation (RAG)
Agentic AI / Multi-agent systems
Experience with vector databases (Pinecone, FAISS, Weaviate, etc.).
Strong knowledge of REST APIs, microservices architecture.
Experience with cloud platforms (AWS/Azure/GCP).
Pay? $52/hr
LangChain and LangGraph
Retrieval-Augmented Generation (RAG)
Agentic AI / Multi-agent systems
Experience with vector databases (Pinecone, FAISS, Weaviate, etc.).
Strong knowledge of REST APIs, microservices architecture.
Experience with cloud platforms (AWS/Azure/GCP).
Pay? $52/hr
Semantic Search Using Msmarco Distilbert Base & Faiss Vector Database - AI Project
This Project will help you in Improving User Experience, Reducing Search Time, Greater Precision & Scalable Solutions.
🔗 Download the Semantic Search Project: www.aionlinecourse.com/ai-projects/...
#AI #Project
This Project will help you in Improving User Experience, Reducing Search Time, Greater Precision & Scalable Solutions.
🔗 Download the Semantic Search Project: www.aionlinecourse.com/ai-projects/...
#AI #Project
September 7, 2024 at 4:28 AM
Semantic Search Using Msmarco Distilbert Base & Faiss Vector Database - AI Project
This Project will help you in Improving User Experience, Reducing Search Time, Greater Precision & Scalable Solutions.
🔗 Download the Semantic Search Project: www.aionlinecourse.com/ai-projects/...
#AI #Project
This Project will help you in Improving User Experience, Reducing Search Time, Greater Precision & Scalable Solutions.
🔗 Download the Semantic Search Project: www.aionlinecourse.com/ai-projects/...
#AI #Project
Learn how to build a local RAG (Retrieval Augmented Generation) system using Ollama, HuggingFace, FAISS, and Google's Gemma. Tutorial by @srbhr.bsky.social 💻
Full post: dev.to/apideck/buil...
#AI #RAG #Python
Full post: dev.to/apideck/buil...
#AI #RAG #Python
June 10, 2025 at 1:05 PM
Learn how to build a local RAG (Retrieval Augmented Generation) system using Ollama, HuggingFace, FAISS, and Google's Gemma. Tutorial by @srbhr.bsky.social 💻
Full post: dev.to/apideck/buil...
#AI #RAG #Python
Full post: dev.to/apideck/buil...
#AI #RAG #Python
A Slop Stack (ASS) Fucking AI Shit Stack (FAISS).
March 29, 2026 at 11:12 AM
A Slop Stack (ASS) Fucking AI Shit Stack (FAISS).
bsky.app/profile/cee.... same overall method as here. basically just storing the curve data of the whole horizon from a 1km grid of viewpoints in the FAISS vector index
July 23, 2026 at 4:59 PM
bsky.app/profile/cee.... same overall method as here. basically just storing the curve data of the whole horizon from a 1km grid of viewpoints in the FAISS vector index
Habe mal recherchiert:
Rudolf Steiner deutete 1915 den Tod des siebenjährigen Theo Faiß, der in Dornach von einem Möbelwagen erschlagen wurde, karmisch:
"… wo das Kind den Tod brauchte, weil das Karma des Kindes es so wollte."🤮
Quelle: GA 159
Rudolf Steiner deutete 1915 den Tod des siebenjährigen Theo Faiß, der in Dornach von einem Möbelwagen erschlagen wurde, karmisch:
"… wo das Kind den Tod brauchte, weil das Karma des Kindes es so wollte."🤮
Quelle: GA 159
May 5, 2026 at 10:51 AM
Habe mal recherchiert:
Rudolf Steiner deutete 1915 den Tod des siebenjährigen Theo Faiß, der in Dornach von einem Möbelwagen erschlagen wurde, karmisch:
"… wo das Kind den Tod brauchte, weil das Karma des Kindes es so wollte."🤮
Quelle: GA 159
Rudolf Steiner deutete 1915 den Tod des siebenjährigen Theo Faiß, der in Dornach von einem Möbelwagen erschlagen wurde, karmisch:
"… wo das Kind den Tod brauchte, weil das Karma des Kindes es so wollte."🤮
Quelle: GA 159