tSNE is a dimension reduction and vector projection method. It's main use is in visualizing high-dimensional vectors, such as text embeddings, in 2D or 3D plots.

Isomorphic storage client for Supabase.

Developer friendly Natural Language Processing ✨

RunInfra SDK for optimized inference deployments across text, embeddings, image, and audio routes

Embeddings is a simple tool for generating text embeddings. It returns the text embeddings based on the text provided.

Common utilities for ChromaDB AI embedding packages

Local-first Context7 alternative — indexes JS/TS dependency docs with a 4-stage RAG pipeline. Uses TEI (Text Embeddings Inference) Docker containers for embeddings and reranking.

A SQLite extension for generating text embeddings.

Sanity CLI tool for managing Sanity projects and organizations

pgvector support for Node.js, Deno, and Bun (and TypeScript)

Universal Sentence Encoder lite in TensorFlow.js

SAP Fiori documentation indexing

N8N Community Node for local text embeddings - use your own models instead of cloud APIs

Cohere embeddings provider for Recall. Generate high-quality text embeddings using Cohere's embed models for semantic search and memory retrieval.

A SQLite extension for generating text embeddings.

SAP AI Provider for Vercel AI SDK (powered by @sap-ai-sdk/orchestration and @sap-ai-sdk/foundation-models)

Fast, dependency-free text embeddings (BAAI/bge-small-en-v1.5) — pure C compiled to WASM

Nomic integration for LangChain.js

A rag component for Convex.

Various Sanity Studio plugins for integrating with the embeddings index API