#vector-data-stores
It’s 2025, AI is literally firing people and combing through your most sensitive personal data in federal stores, it’s making decisions about your medical care and your immigration status, and we still think the most expedient vector of critique is the news that they are statistical models.
April 24, 2025 at 6:33 PM
apparently blender data stores version as 3d vector
October 27, 2024 at 3:38 PM
Excited to return to my college computer science program to sponsor capstone research. We’ll work on LLM enabled data storage and retrieval. This included both vector stores, embedding, and Text to SQL. Should be fun!
January 1, 2025 at 9:39 PM
📣 https://msft.it/63325Sd20R and Vector Data now generally available! 🙌

Now you can build smarter AI apps with unified .NET abstractions for vector stores and embeddings and integrate with Chroma, Qdrant, and more for powerful semantic search and RAG. Check it out: https://msft.it/63320Sd20n
May 22, 2025 at 7:30 PM
Supabase's Vector Buckets-" @supabase.com has released Vector Buckets, specialized storage containers optimized for vector data. Is This The End Of Specialized Vector Stores? "
On IProgrammer: cutt.ly/GtkQ8ant

#supabase #vector #postgresql #postgres
@postgresworld.bsky.social
January 14, 2026 at 10:49 AM
It "takes notes"?

No it doesn't.
People take notes.
Computers make copies of data and stores that data it copied.

It represents the image as math, which is what vector files are

It COPIES the math and swirls it around.
December 11, 2024 at 8:52 PM
Multimodal AI Data Management Simplified

ApertureData offers 10x speed boost to enterprises using multimodal data & combines the power of vector database, knowledge graphs, and multimodal data management into a single solution. venturebeat.com/data-infrast... #AI #data | @venturebeat.com
ApertureData offers 10x speed boost to enterprises using multimodal data
ApertureData offers a unified product that natively stores multimodal data and easily blends the power of knowledge graphs with vector search.
venturebeat.com
January 5, 2025 at 9:53 AM
How do AI systems turn messy enterprise logs, contracts, and support tickets into executable telemetry and automated actions?

Exploring semantic embeddings, vector stores, and GraphRAG pipelines:
🔗 medium.com/@hossein.shn...

#AI #Architecture #DataEngineering #GraphRAG
From Text to Tensor: How AI Systems Turn Unstructured Data into Actionable Decisions
[Exploring the architectural pipeline behind converting messy enterprise text, logs, and contracts into quantifiable vectors, knowledge…
medium.com
September 27, 2026 at 8:32 AM
Fun stuff. Any multi agentic workflows yet? I am looking into multi agentic workflows that combine relational db data with vector stores rn.
March 23, 2025 at 8:42 PM
Another field of future experiments is AI integration.

Since entities and component stores can be viewed as some kind of vector data store, in-game AI systems can be used for some really new and creative features, not yet seen in gaming.
November 19, 2024 at 3:30 PM
Built this repository for autonomous news ingestion.
Currently building out features to better pull signals from the data ( entity sentiment, entity corporate events, etc... ) and performing vector search.
github.com/Charles-Gorm...

#buildinPublic #SoftwareEngineer #Economics #quant
#hacking
GitHub - Charles-Gormley/IngestRSS: IngestRSS is an AWS-based RSS feed processing system that automatically fetches, processes, and stores articles from specified RSS feeds. This project is designed t...
IngestRSS is an AWS-based RSS feed processing system that automatically fetches, processes, and stores articles from specified RSS feeds. This project is designed to support social scientists in pr...
github.com
November 25, 2024 at 1:28 AM
Most images you see online are "rasters," it saves the data as a map of pixels (think like a grid)

Vector images, on the other hand, stores the data as lines ("vectors")

The upshot is that you can infinitely scale up vectors with no loss of detail. Whereas the same cannot be said of rasters
April 21, 2025 at 3:38 AM
Read my latest article on the 𝗟𝗼𝘄-𝗖𝗼𝗱𝗲 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 blog:

🚀 𝗧𝗵𝗲 𝗥𝗼𝗹𝗲 𝗼𝗳 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝘁𝗼𝗿𝗲𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

Dive into the full article and unlock the future of automation:
👉 https://buff.ly/3ZZxnYZ

#VectorStore #VectorDatabase #DataStax
The Role of Vector Stores in Data Management
Vector databases efficiently handle complex data, enabling advanced AI applications like semantic search via embeddings. DataStax AstraDB leverages these for enhanced generative AI, offering…
buff.ly
December 20, 2024 at 12:39 PM
#Azure #MachineLearning supports two vector stores that contain your supplemental data used in a #RAG workflow: #Faiss & #AzureAISearch learn.microsoft.com/en-us/azure/...
December 1, 2024 at 4:55 PM
Wrote a blog on Vector Embeddings and Vector Stores. While building RAG apps, I spent enough time understanding these concepts.

Vector Embeddings and Vector Stores are essential topics to grasp, but they’re surprisingly simple to understand.

Read it here: codessprachi.hashnode.dev/understandin...
Understanding Vector Embeddings and Vector Store
In today’s digital age, data is being generated at a high-speed rate. As I write this, new data is being generated across the globe. Each activity, like scrolling reels, browsing products, giving reviews, and liking a post from your favorite influenc...
codessprachi.hashnode.dev
December 4, 2024 at 5:27 PM
(1/2) Vector embedding with VectorFlow 🚀

VectorFlow is a relatively new Python 🐍 library by David Garnitz for vector embedding pipelines. The library takes raw data and chunks, embeds, and stores the data in any vector database via an API request.

Source code 🔗: github.com/dgarnitz/vec...
GitHub - dgarnitz/vectorflow: VectorFlow is a high volume vector embedding pipeline that ingests raw...
VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice. - GitHub - dgarnitz/vectorflow: VectorFlow is a...
github.com
February 1, 2024 at 12:48 PM
There's a clear pipeline between data lakes processed by ETLs and vector stores, but people at work ain't ready to hear that yet
September 18, 2024 at 11:57 AM
Don't miss Chris Bono's session, "Spring Data 4: Data Access Revisited" at #DevNexus 2026! Get an outlook on the next-gen framework: AOT Repos, Vector stores, Spring Data JPA revision, Jakarta EE 11, and Kotlin 2. https://brcm.tech/3Leyrnp

#SpringData #Java #Kotlin #DataAccess
Spring Data 4: Data Access Revisited
brcm.tech
January 7, 2026 at 5:14 PM
Leverages RAG, vector stores, and knowledge graphs to amplify legal data retrieval. NMF exposes topics/patterns in texts. Utilizes chunking and hierarchical NMFk for precision in large datasets. Tailors preprocessing to legal data traits for peak retrieval.
March 1, 2025 at 1:00 AM
I build LLM wrappers for corp. clients.
No.1 use case is 'connect it to these docs/ this database, so i can ask about it'-kind of RAG

I wrote some notes on vector stores and knowledge graphs. They turned into an article.
georgesalapa.medium.com/making-llms-...
Making LLMs Work with Your Company Data
Stop using LLMs like off-the-shelf software.
georgesalapa.medium.com
January 13, 2025 at 5:22 PM
You have to read about vector databases. A lot of industry blog, documents explain it eg zilliz.com/learn/what-i.... Learn about things like HNSW, ANNOY etc. But i guess you already knew that?
What are Vector Databases and How Do They Work? - Zilliz Learn
A vector database stores, indexes, and searches unstructured data through vector embeddings for fast information retrieval and similarity search.
zilliz.com
December 19, 2024 at 12:53 AM
objectbox.io
[ Github: github.com/objectbox/ob... ]
<< ...ObjectBox Java is a lightweight yet powerful on-device database & vector database designed specifically for Java and Kotlin applications... >>
ObjectBox, the edge vector database
High-speed & lightweight database solution which securly stores your data privatly on-device and syncs it seamless to millions of devices
objectbox.io
February 20, 2025 at 8:23 PM