build-on-aws/langchain-embeddings
This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.
This project helps developers build advanced search engines that can understand and find information across different types of content like text, images, and videos, all through natural language queries. It takes various media files as input and outputs a system capable of semantic search. The ideal user is a software developer or data engineer working with AWS to create smart search solutions.
Use this if you are a developer looking to build a multimodal search engine on AWS that can process and search across documents, images, and video content using natural language.
Not ideal if you are an end-user seeking a ready-to-use search application rather than a blueprint for building one.
Stars
55
Forks
7
Language
Jupyter Notebook
License
MIT-0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/build-on-aws/langchain-embeddings"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Azure-Samples/azure-ai-document-processing-samples
A collection of samples demonstrating techniques for processing documents with Azure AI...
artitw/text2text
Text2Text Language Modeling Toolkit
aiplanethub/beyondllm
Build, evaluate and observe LLM apps
qianniuspace/llm_notebooks
AI 应用示例合集
Muennighoff/sgpt
SGPT: GPT Sentence Embeddings for Semantic Search