Inside FAISS: Billion-Scale Similarity Search
How Facebook AI Research solved the problem of finding similarity at billion-scale. An interactive exploration of IVF, HNSW, and Product Quantization.
vector-databases
Meet Turbovec: A Rust Vector Index with Python Bindings, and Built on Google's TurboQuant Algorithm - MarkTechPost
turbovec is a Rust-built vector index using Google Research's TurboQuant that compresses 10M documents from 31 GB to 4 GB.
Vector Search at Scale: The Production Engineer's Guide
IVF partitions space. PQ compresses memory. Together they make 100M vector search actually possible
Vector Databases Explained from Scratch | Aman Kharwal
In this article, I’ll explain vector databases from scratch and build a simple semantic search engine in Python for free.
From shiny object to sober reality the vector database story two years later
Comparing Memory Systems for LLM Agents: Vector, Graph, and Event Logs
Learn how different memory systems affect multi-agent planning. Comparing Memory Systems for LLM Agents highlights key performance metrics.
Plain Vector RAG
sublinear scaling
Abstract or die why ai enterprises cant afford rigid vector stacks
37 Things I Learned About Information Retrieval in Two Years at a Vector Database Company – Leonie Monigatti
From BM25 to RAG: Everything I learned about vector databases, embedding models, and vector search - and everything in between.
Do you really need a Vector Search Database?
Reflections on Intercom’s decision to stick with Elasticsearch
Don't use cosine similarity carelessly - Piotr Migdał
Cosine similarity - the duct tape of AI. Convenient but often misused. Let's find out how to use it better.
Vector Embeddings are Lossy. Here’s What to Do About It.
AI systems aren’t perfect (GASP!) and these are some of the reasons why.
Use Your Data in LLMs With the Vector Database You Already Have
Open source vector databases are among the top options out there for AI development, including some you may already be familiar with or even have on hand.
An SQL Vector Database To Enhance Text Search: How We Did It
Performance testing shows integrating Tantivy’s full-text search engine library into vector search significantly improves speed and performance.
Pinecone launches its serverless vector database out of preview
Pinecone, the vector database startup founded by Edo Liberty, the former head of Amazon's AI Labs, has long been at the forefront of helping businesses
Cosine Similarity
Cosine similarity can measure the proximity between two documents by transforming words into vectors within a vector space.
Comparative Analysis of Top 14 Vector Databases: Features, Performance, and
Vector databases have become increasingly prominent, especially in applications that involve machine learning, image processing, and similarity searches. Unlike traditional databases that store data as scalar values (numbers and strings), vector databases are designed to handle…
I accidentally built a meme search engine | Harper Reed's Blog
I built a magical meme search engine using siglip/CLIP and vector encoding images. It was a fun way to learn about this powerful technology. I'm sharing the code so you can build your own and discover forgotten gems in your photo library. Let's unleash the power of AI on our…
What We Learned When We Built a Vector Database-and Our Customers Started U
Everyone is talking about vectors these days. Cosines, ANN searches, normalizations, sentence...
Pinecone: New vector database architecture a ‘breakthrough’ to curb AI hall
Today Pinecone launched a serverless vector database architecture that CEO Edo Liberty calls a 'significant' breakthrough for the industry.
Meet Chroma: An AI-Native Open-Source Vector Database For LLMs: A Faster Wa
Word embedding vector databases have become increasingly popular due to the proliferation of massive language models. Using the power of sophisticated machine learning techniques, data is stored in a vector database. It allows for very fast similarity search, essential for many…
Scalar Quantization and Product Quantization - Zilliz blog
A hands-on dive into scalar quantization (integer quantization) and product quantization with Python.
Not All Vector Databases Are Made Equal
A detailed comparison of Milvus, Pinecone, Vespa, Weaviate, Vald, GSI and Qdrant
What is a Vector Database? | Pinecone
Discover Vector Databases: How They Work, Examples, Use Cases, Pros & Cons, Selection and Implementation. They have combined capabilities of traditional databases and standalone vector indexes while specializing for vector embeddings.
eBay’s Blazingly Fast Billion-Scale Vector Similarity Engine
The Similarity Engine's use cases include item-to-item similarity for text and image modality and user-to-item personalized recommendations based on a user’s historical behavior data.
Top 10 Best Vector Databases & Libraries
Vector database is a type of database that stores data as high-dimensional vectors, which are...
HNSW Flat or Inverted Index: Which Should You Choose for Your Search? This AI Paper Offers Operati
A significant challenge in information retrieval today is determining the most efficient method for nearest-neighbor vector search, especially with the growing complexity of dense and sparse retrieval models. Practitioners must navigate a wide range of options for indexing and…