Overview

RAG & Vector Database guides for Clore.ai GPU cloud

Retrieval-Augmented Generation and vector database solutions for building intelligent search and AI applications.

RAG systems combine large language models with external knowledge bases to provide accurate, up-to-date responses. Vector databases enable semantic search and similarity matching by storing high-dimensional embeddings of text, images, and other data.

Deploy vector databases and RAG frameworks on CLORE.AI GPUs to power intelligent search applications, chatbots with external knowledge, and advanced AI systems that can reason over large document collections across the Clore.ai marketplace.

Available Guides

Guide
Use Case
Difficulty

Simple vector database

Easy

RAG framework & orchestration

Medium

Enterprise vector database

Advanced

Fast vector search engine

Medium

Complete RAG platform

Medium

AI-native vector database

Advanced

Database Comparison

Database
Best For
Scalability
GPU Acceleration

ChromaDB

Prototyping

Small-Medium

Limited

Milvus

Enterprise

High

Excellent

Qdrant

Performance

High

Good

Weaviate

AI-native features

High

Excellent

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