Code & Development · GitHub ·3 ★

embedding-service

A high-performance FastAPI service that generates vector embeddings for semantic search. Uses the intfloat/multilingual-e5-large model for high-quality multilingual embeddings.

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Details

Author
dsjacobsen
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
3
First indexed
2026-05-15
Last active
2026-01-23
Directory sync
2026-05-15
@dsjacobsen

Overview

A high-performance FastAPI service that generates vector embeddings for semantic search. Uses the intfloat/multilingual-e5-large model for high-quality multilingual embeddings.

Quick start

git

git clone https://github.com/dsjacobsen/embedding-service

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What embedding-service can do

ragembeddingapimultilingual
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Api — api task automation.
  • Multilingual — multilingual task automation.

Frequently asked questions

What is embedding-service?
A high-performance FastAPI service that generates vector embeddings for semantic search. Uses the intfloat/multilingual-e5-large model for high-quality multilingual embeddings.
How do I install embedding-service?
Use git: `git clone https://github.com/dsjacobsen/embedding-service`. Full setup details on the source page linked above.
Is embedding-service open source?
embedding-service is published on GitHub.
What are alternatives to embedding-service?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for embedding-service is sourced from GitHub, published by dsjacobsen.

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