BM42: New Baseline for Hybrid Search - Qdrant

Introducing BM42 - a new sparse embedding approach, which combines the benefits of exact keyword search with the intelligence of transformers.

Build Local Image Search with Quarkus, ONNX, and pgvector (No Cloud Required)

Build a fast, offline image similarity search engine in Java using Quarkus, ONNX Runtime, LangChain4j, and PostgreSQL with pgvector. This hands-on tut...

Md Ismail Šojal 🕷️ on X: “LEANN, an open-source vector database, compresses RAG indexes by an impressive 97% using graph-based recomputation and on-demand embedding calculation. - https://t.co/NhpwzDLDYu” / X

LEANN is an open-source vector database that compresses RAG indexes by 97% through graph-based recomputation and on-demand embedding calculation, elim...

Automated Sitemap Submissions: Bing & Google Guide

Configure a Node.js/TypeScript application to automatically submit sitemaps to Bing (IndexNow) and Google Search Console using service account credent...

Attempting to Design a Back-end with Cleaner Architecture Rules and Boundaries

How I'm learning to build with better software architecture design principles (while 'moving fast and breaking things').

ComposerAI

AI email client / mailbox for agentic search and tasks

Book Finder (findmybook.net)

Book search and recommendation engine with OpenAI integration

SearchAI

AI-powered web search with a contextual chat assistant

Just Use Postgres!

Denis Magda

You probably don’t need a collection of specialty databases. Just use Postgres instead! Need a fast, reliable SQL-compliant RDBMS? Just use Postgres! ...

Deep Learning for Search

Tommaso Teofili

Summary Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the t...

Switch

Switch provides a simple way to pool money and spend with a group.