The official Pinecone TypeScript SDK for building vector search applications with AI/ML.
LangChain integration for Pinecone's vector database
OpenTelemetry instrumentation for pinecone vector DB
A JavaScript library for escaping CSS strings and identifiers while generating the shortest possible ASCII-only output.
For ruby and ruby on rails
Pinecone partners can easily connect their apps to Pinecone.
Model Context Protocol server for Pinecone - enables AI assistants to interact with Pinecone indexes and documentation
Ruby SemVer in TypeScript.
Convention over configuration for using Vite in Ruby apps
Like ruby's abbrev module, but in js
Ruby grammar for tree-sitter
Pinecone.io client powered by fetch
prettier plugin for the Ruby programming language
WebSocket framework for Ruby on Rails.
MemberJunction: Pinecone Implementation for AI Vectors
bootstrap-sass is a Sass-powered version of Bootstrap 3, ready to drop right into your Sass powered applications.
Convention over configuration for using Vite in Rails apps
JavaScript client for graphql-ruby
realistic password strength estimation
A Stimulus Wrapper for Flatpickr library
Pinecone vector store provider for Mastra
The feature-packed router for Alpine.js.
Provide I18n to your React Native application
Prism Ruby parser
Ruby library for interacting with the pineone vector database. This was built to hit a deadline. Better to consolidate work into a single ruby pinecone libary. So please rather use https://rubygems.org/gems/pinecone
This gem provides out-of-the-box functionality for generating vectors using the OpenAI API's text-embedding-ada-002 model and uploading them to Pinecone for efficient semantic search. It also includes features for querying existing vectors and retrieving relevant metadata. With this gem, developers can easily incorporate semantic search capabilities into their Ruby applications without needing to worry about the underlying implementation details.
Ruby client library which includes index and vector operations to upload embeddings into Pinecone and do similarity searches on them.