vector-search - Provide.ai

computer-vision, convolutional-neural-net, recommendation-system, vector-search, vision-language-model

Improving Visual Recommendations with Vision-Language Model Embeddings

Carmel Wenga / March 25, 2026

Moving from CNN’s Low-Level Visual Features to Deep Semantic Embeddings with SigLIP.Image by the author.Convolutional Neural Networks (CNNs) have important semantic limitations: while they capture low and mid-level visual features (such as edges, textu…

Artificial Intelligence, Machine Learning, python, software-engineering, vector-search

Building a High-Performance Vector Search Engine from Scratch in 2026

Sifat Musfique / March 20, 2026

Mastering high-performance vector search in 2026.Vector search is the backbone of modern AI. It enables Semantic Search, Retrieval-Augmented Generation (RAG), and recommendation systems. Relying on managed services is common. However, building your own…

AI & Machine Learning, approximate nearest neighbor, citation support, embeddings, faiss, hnsw, llm grounding, llmops, local llm, Natural Language Processing, ollama, python, RAG, retrieval augmented generation, semantic-search, sentence transformers, tutorial, Vector Databases, vector-search

Vector Search Using Ollama for Retrieval-Augmented Generation (RAG)

Vikram Singh / February 23, 2026

Table of Contents Vector Search Using Ollama for Retrieval-Augmented Generation (RAG) How Vector Search Powers Retrieval-Augmented Generation (RAG) From Search to Context The Flow of Meaning Putting It All Together What Is Retrieval-Augmented Generation (RAG)? The Retrieve-Read-Generate Architecture Explained Why…

The post Vector Search Using Ollama for Retrieval-Augmented Generation (RAG) appeared first on PyImageSearch.

ann, approximate nearest neighbor, cosine similarity, deep-learning, embeddings, faiss, flat index, hnsw, ivf, RAG, recall at k, retrieval augmented generation, semantic-search, tutorial, vector database, Vector Databases, vector-search

Vector Search with FAISS: Approximate Nearest Neighbor (ANN) Explained

Vikram Singh / February 16, 2026

Table of Contents Vector Search with FAISS: Approximate Nearest Neighbor (ANN) Explained From Exact to Approximate: Why Indexing Matters The Trouble with Brute-Force Search The Curse of Dimensionality Enter the Approximate Nearest Neighbor (ANN) Accuracy vs. Latency: The Core Trade-Off…

The post Vector Search with FAISS: Approximate Nearest Neighbor (ANN) Explained appeared first on PyImageSearch.