#vectordatabase Development Tutorials & Tips | Roast Dev

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Building a Semantic Meme Search Engine

Let's face it - we've all been there. You're trying to find that perfect meme to sum up your existential dread over Monday morning coffee, but no matter what keywords you try, you just get unrelated c...

21.03.2025 0 Read More

Exploring RAG: Hypothetical Document Embeddings (HyDE)

Introduction Hypothetical Document Embeddings (HyDE) is a Retrieval-Augmented Generation (RAG) technique used in Large Language Models (LLMs). This blog explains why HyDE was developed and ho...

22.03.2025 0 Read More

MongoDB Vector Search Index, With Local Atlas and Ollama

For this demo, I'm using the Eurovision songs available at Kaggle, which contain lyrics in their original language, and translated into English Sample data I downloaded and uncompressed the fi...

26.03.2025 0 Read More

🧭 Part 3: Implementing Vector Search with Pinecone

🧭 Part 3: Implementing Vector Search with Pinecone In this part, we’ll integrate Pinecone, a vector database that enables semantic search. This allows the chatbot to understand user quer...

27.03.2025 0 Read More

Harnessing the Power of Vector Embeddings in Google Apps Script with Vertex AI

Introduction In today's data-driven world, the ability to understand and process text semantically has become increasingly important. Vector embeddings provide a powerful way to represent tex...

27.03.2025 0 Read More

Embeddings clustering with Agglomerative Hierarchical Clustering (messy-folder-reorganizer-ai)

Adding RAG and ML to Messy-Folder-Reorganizer-AI Why ML Methods for Clustering As we discovered in previous articles, all LLMs have context restrictions, so we cannot send hundreds o...

28.03.2025 0 Read More

Understanding The Math Behind RRF and DBSF with Examples

In Qdrant - a vector database used in machine learning applications - there are two primary strategies for combining (or "fusing") query results so that consistently strong performers are prio...

30.03.2025 0 Read More

AWS Graviton 3 > Graviton 4 for Vector Similarity Search

If you are doing vector search with a vector library that supports SVE, you should use a Graviton 3 machine. It is cheaper, and it will also deliver more raw performance. A few months ago, we started...

30.03.2025 0 Read More

Vector Database Indexing: A Comprehensive Guide

Disclaimer: this is a report generated with my tool: https://github.com/DTeam-Top/tsw-cli. See it as an experiment not a formal research, 😄。 Summary This report delves into vector databas...

02.04.2025 0 Read More

Entendiendo los Embeddings en Inteligencia Artificial

La inteligencia artificial (IA) ha transformado la forma en que interactuamos con los datos, desde los sistemas de recomendación hasta el procesamiento del lenguaje natural. Dentro de este mundo, los...

03.04.2025 0 Read More