Zilliz - Provides a managed vector database service.

Cossmology Profile: https://dub.sh/HxFCcoG

Key People: Charles Xie, James Luan

#VectorDatabase #OpenSource #OSS #COSS

Text embeddings for RAG and search - Python, Ollama, OpenAI-compatible APIs:
https://www.glukhov.org/rag/embeddings/
#Embeddings #RAG #Python #Ollama #LLM #SelfHosting #VectorDatabase
Text embeddings for RAG and search - Python, Ollama, OpenAI-compatible APIs

Learn what text embeddings are, how they power RAG and semantic search, and how to call embedding APIs from Python using Ollama or an OpenAI-compatible server (for example llama.cpp). Includes persistence, retrieval, and links to chunking, vector stores, and reranking on this site.

Rost Glukhov | Personal site and technical blog

Databases for #AI: Should you use a vector #database? 🤔

This article compares #opensource projects competing to handle modern #AI workloads, including #machinelearning and #LLMs. Discover which databases best meet today’s AI challenges: https://lpi.org/636x

(Disclaimer: This post contains an AI-generated image.)

#AndyOram #AI #vectordatabase #machinelearning #LLMs #SQL #opensource #hybridsearch #generativeAI #MariaDB #MongoDB #Milvus #Qdrant #Weaviate #Vespa #ChromaDB #LanceDB

Chat with Your Documents: A Practical Guide to RAG Using the New Laravel AI SDK

Have you ever wished you could just ask your documents a question and get an answer? That's exactly what RAG (Retrieval-Augmented Generation) lets you do. It's the technique behind those AI chatbots...

Tighten
Building Software That Welcomes Everyone - Marc HaunschildPimp My Solr Search - Chatting With the New Solr Vector Database - Olivier DobberkauHow to expose a...#TYPO3 #TYPO3campVenlo #WebCampVenlo #wcv #softwaredevelopment #cms #php #opensource #solr #vectordatabase #developer #figma
Friday - Building Software - Solr Vector Db - developer experience - Figma - Web Camp Venlo 2026
Friday - Building Software - Solr Vector Db - developer experience - Figma - Web Camp Venlo 2026

YouTube

Your RAG’s Secret Backdoor: Leaking Data Through Vector Databases
This article exposes a vulnerability in Retrieval-Augmented Generation (RAG) systems, where misconfigured vector databases can lead to sensitive data leakage. By improperly securing these databases, attackers can gain access to internal documents such as HR policies and top-secret product roadmaps. The RAG system works by storing document chunks as embeddings in a special-purpose vector database and querying it to provide context for the LLM. The focus on securing the LLM while neglecting the vector database leaves it vulnerable to data exfiltration. The attacker can exploit weak access controls and clever retrieval attacks to gain access to sensitive data. Key lesson: Secure vector databases to prevent data breaches caused by RAG system vulnerabilities. #BugBounty #ArtificialIntelligence #DataLeak #Infosec #VectorDatabase

https://infosecwriteups.com/your-rags-secret-backdoor-leaking-data-through-vector-databases-c33755a5abbe?source=rss------bug_bounty-5

Your RAG’s Secret Backdoor: Leaking Data Through Vector Databases 💀

Why the “secure” LLM is a lie if your vector DB is a sieve. A practical, no-BS guide for security pros on the new AI frontline.

Medium

[zvec - 초경량·초고속 인프로세스 벡터 DB

Zvec는 초경량·초고속 인프로세스 벡터 DB로, Alibaba의 Proxima 엔진 기반으로 구축되어 대규모 유사도 검색을 최소 설정으로 수행하도록 설계되었습니다. 밀집 및 희소 벡터를 모두 지원하며, 하이브리드 검색 기능을 통해 의미적 유사도와 구조적 필터링을 결합한 정밀 검색을 제공합니다. C++ 기반 핵심 엔진과 SWIG·Python 바인딩 구조로 구성되어 고성능 연산과 다양한 언어 통합을 지원하며, Apache-2.0 라이선스로 제공됩니다.

https://news.hada.io/topic?id=27147

#vectordatabase #algorithms #machinelearning #opensource #search

zvec - 초경량·초고속 인프로세스 벡터 DB

<ul> <li> <strong>애플리케이션 내에서 직접 임베드</strong> 가능한 <strong>벡터DB</strong>로, 대규모 <strong>유사도 검색</strong>을 최소 ...

GeekNews
Vector Data in .NET - Building Blocks for AI Part 2 - .NET Blog

Explore the power of Vector Data in .NET AI for enhancing semantic searches and intelligent applications.

.NET Blog

Did you know? Our pgedge-vectorizer tool (on GitHub: https://github.com/pgEdge/pgedge-vectorizer) automatically chunks text content and generates vector embeddings with the help of background workers.

OpenAI, Voyage AI, and Ollama are supported as embedding providers, and a simple SQL interface allows you to enable vectorization on any table. (There’s even built-in views and functions for monitoring queue status.)

#github #opensource #semanticsearch #vector #vectordatabase #openai #ollama #voyageai

GitHub - pgEdge/pgedge-vectorizer: A PostgreSQL extension to create chunk tables for existing text data, and populate them with embeddings using your favourite LLM.

A PostgreSQL extension to create chunk tables for existing text data, and populate them with embeddings using your favourite LLM. - pgEdge/pgedge-vectorizer

GitHub
Retrieval-Augmented Generation (RAG) Tutorial: Architecture, Implementation, and Production Guide:
https://www.glukhov.org/rag/
#AI #LLM #RAG #Embeddings #Reranking #VectorDatabase
Retrieval-Augmented Generation (RAG) Tutorial: Architecture, Implementation, and Production Guide

Step-by-step RAG tutorial: build retrieval-augmented generation systems with vector databases, hybrid search, reranking, and web search. Architecture, implementation, and production best practices.

Rost Glukhov | Personal site and technical blog