different-ai/embedbase
A dead-simple API to build LLM-powered apps
Provides hosted vector database and LLM inference as a managed service, eliminating self-hosting complexity. Combines semantic search capabilities (via embeddings) with multi-model text generation through a unified JavaScript SDK, supporting dataset indexing and retrieval-augmented generation workflows. Integrates with 9+ LLMs including OpenAI and exposes functionality through REST APIs and SDKs.
522 stars. No commits in the last 6 months.
Stars
522
Forks
55
Language
TypeScript
License
MIT
Category
Last pushed
Nov 27, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/different-ai/embedbase"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
guangzhengli/vectorhub
Quickly and easily build AI website or application by using embeddings!
IngestAI/embedditor
⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file...
yuniko-software/qwen3-tokenizer-dotnet
Multi-language BPE tokenizer implementation for Qwen3 models. Lightweight byte-pair encoding for C#/.NET
ux-nl/laravel-embeddings
Create embeddings for your Eloquent models to use with OpenAI
turian/embeddingcache
Retrieve text embeddings, but cache them locally if we have already computed them.