Vectordatabase

Pascal CESCATO

Sep 29

From Zero to 1 B Vectors: the 2025 No-BS Picking Guide

#ai #vectordatabase #opensource #rag

1

2 min read

Cover image for 🚀 Sample RAG app with Strands, Reflex and S3

Shakir for AWS Community Builders

Sep 29

🚀 Sample RAG app with Strands, Reflex and S3

#aws #rag #vectordatabase #llm

5

2 min read

DCT Technology Pvt. Ltd.

Sep 24

Why Privacy-First Databases Will Be the New Gold Standard

#privacy #webdev #vectordatabase #cloud

3 min read

Cover image for RAGs for Dummies: The Game-Changing Power of RAG

Maureen Mukami

Sep 21

RAGs for Dummies: The Game-Changing Power of RAG

#rag #vectordatabase #datascience

4

3 min read

DCT Technology Pvt. Ltd.

Sep 19

The Battle of Real-Time Databases: Firebase vs Supabase vs Postgres

#vectordatabase #webdev #programming #ai

3 min read

Cover image for Graph-Augmented Hybrid Retrieval and Multi-Stage Re-ranking: A Framework for High-Fidelity Chunk Retrieval in RAG Systems

Lucas Ribeiro

Sep 18

Graph-Augmented Hybrid Retrieval and Multi-Stage Re-ranking: A Framework for High-Fidelity Chunk Retrieval in RAG Systems

#programming #ai #vectordatabase #machinelearning

33 min read

David Mezzetti for NeuML

Sep 17

GraphRAG with Wikipedia and GPT OSS

#ai #llm #rag #vectordatabase

1

10 min read

Gias Uddin

Sep 18

Unlocking the Potential of Vector Databases for AI Agents

#vectordatabase

2

4 min read

Cover image for Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)

Ricardo Mello for MongoDB

Sep 16

Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)

#spring #springboot #java #vectordatabase

2

8 min read

Cover image for Quantize Your Vectors, Speed Up Your Java AI Applications

Tim Kelly for MongoDB

Sep 8

Quantize Your Vectors, Speed Up Your Java AI Applications

#mongodb #java #ai #vectordatabase

5

20 min read

Kirill Polishchuk

Sep 4

Building a 'Chat with Your Logs' System on AWS Using OpenSearch Serverless and Bedrock

#ai #serverless #vectordatabase #rag

7 min read

Cover image for Furniture Image Classification Using TypeScript + BilberryDB SDK vs. No-Code Approach

Ravinthiran Partheepan

Aug 31

Furniture Image Classification Using TypeScript + BilberryDB SDK vs. No-Code Approach

#typescript #vectordatabase #deeplearning #machinelearning

1

4 min read

David Mezzetti for NeuML

Aug 28

💡 What's new in txtai 9.0

#ai #llm #rag #vectordatabase

1

5 min read

PSBigBig

Aug 28

Day 7 — FAISS empty vectors, metric mismatch, and recall collapse (ProblemMap No.8)

#rag #vectordatabase #programming #ai

3 min read

PSBigBig

Aug 26

Semantic Embedding in RAG: why close vectors still miss meaning and how to fix it

#vectordatabase #machinelearning #rag #ai

4 min read

Cover image for Vector Podcast: Simon Eskildsen, Turbopuffer

Dmitry Kan for Vector Podcast

Sep 19

Vector Podcast: Simon Eskildsen, Turbopuffer

#vectordatabase #rust #objectstorage #searchengine

10

2 min read

Alain Airom

Sep 16

Moving Your Vector Database from ChromaDB to Milvus

#rag #milvus #chromadb #vectordatabase

5

1

10 min read

Cover image for Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

Alex Retana

Aug 12

Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

#llm #rag #webscraping #vectordatabase

8 min read

Cover image for The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

Matthieu Lienart

Sep 14

The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

#aws #rag #vectordatabase

4

3 min read

Cover image for Building with Generative AI: Lessons from 5 Projects Part 2: Embedding

Zack

Aug 11

Building with Generative AI: Lessons from 5 Projects Part 2: Embedding

#ai #programming #vectordatabase #learning

9 min read

Cover image for 🧠 GenAI as a Backend Engineer: Part 2 - Vector DBs

Ayush

Aug 9

🧠 GenAI as a Backend Engineer: Part 2 - Vector DBs

#ai #python #vectordatabase

3 min read

Cover image for Vector Database: Core Concepts

Farhan Khan

Sep 4

Vector Database: Core Concepts

#vectordatabase #elasticsearch #rag #python

4 min read

Tsubasa Kanno

Jul 26

Snowflake AI_EMBED Function - Your Gateway to Unified Multimodal Vector Search

#snowflake #vectordatabase #multimodal #rag

1

5 min read

Cover image for Sub-millisecond similarity search on IVF indexes with PDX

Leonardo Kuffo

Jul 25

Sub-millisecond similarity search on IVF indexes with PDX

#similaritysearch #vectordatabase #programming #rag

6 min read

Dishit Dhanesha

Jul 25

⚡ Implementing Semantic Search (Vector Search) Using Amazon S3 Vectors

#vectordatabase #aws #ai #nlp

3 min read

Forem

# vectordatabase

From Zero to 1 B Vectors: the 2025 No-BS Picking Guide

🚀 Sample RAG app with Strands, Reflex and S3

Why Privacy-First Databases Will Be the New Gold Standard

RAGs for Dummies: The Game-Changing Power of RAG

The Battle of Real-Time Databases: Firebase vs Supabase vs Postgres

Graph-Augmented Hybrid Retrieval and Multi-Stage Re-ranking: A Framework for High-Fidelity Chunk Retrieval in RAG Systems

GraphRAG with Wikipedia and GPT OSS

Unlocking the Potential of Vector Databases for AI Agents

Beyond Keywords: Optimizing Vector Search With Filters and Caching (Part 2)

Quantize Your Vectors, Speed Up Your Java AI Applications

Building a 'Chat with Your Logs' System on AWS Using OpenSearch Serverless and Bedrock

Furniture Image Classification Using TypeScript + BilberryDB SDK vs. No-Code Approach

💡 What's new in txtai 9.0

Day 7 — FAISS empty vectors, metric mismatch, and recall collapse (ProblemMap No.8)

Semantic Embedding in RAG: why close vectors still miss meaning and how to fix it

Vector Podcast: Simon Eskildsen, Turbopuffer

Moving Your Vector Database from ChromaDB to Milvus

Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

Building with Generative AI: Lessons from 5 Projects Part 2: Embedding

🧠 GenAI as a Backend Engineer: Part 2 - Vector DBs

Vector Database: Core Concepts

Snowflake AI_EMBED Function - Your Gateway to Unified Multimodal Vector Search

Sub-millisecond similarity search on IVF indexes with PDX

⚡ Implementing Semantic Search (Vector Search) Using Amazon S3 Vectors