Skip to main content

One post tagged with "AI Search"

Building AI-powered search engines that enhance information retrieval using vector embeddings, ranking algorithms, and LLM-based search. Covers hybrid search techniques, RAG, multimodal retrieval, semantic search, and optimizing query relevance for real-world applications.

View All Tags

How to build a custom embedder in LlamaIndex: AWS Titan Multimodal example

· 14 min read
Norah Sakal
Norah Sakal
AI Consultant & Developer

How to build a custom embedder in LlamaIndex: AWS Titan Multimodal example

LlamaIndex makes it easy to build AI-powered search, but if you're working with multimodal embeddings (text + images), like the AWS Titan multimodal model, you'll notice it's not natively supported.

For e-commerce search, I need embeddings that capture both product descriptions and images to generate more accurate search results.

This guide will show you how to override LlamaIndex's default embedder to use AWS Titan Multimodal.