Popular GitHub Repositories for Embed

Create Custom GPT and add/embed on your site using Assistants api

Embed AI chat dialog into your doc site to answer user questions based on your own content.

Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh

The all-in-one RWKV runtime box with embed, RAG, AI agents, and more.

Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.

A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.

A complete pytorch implementation of skip-gram

Embed arbitrary modalities (images, audio, documents, etc) into large language models.

AnythingLLM Embed widget submodule for the main AnythingLLM application

R package to Embed All the Things! using StarSpace

Embed AI assistants in Godot with the ability to read and write code in Godot's Code Editor.

Embed machine learning models in your Dockerfile

bin2cpp: The easiest way to embed small files into a c++ executable. bin2cpp converts text or binary files to C++ files (*.h, *.cpp) for easy access within the code.

Embed arbitrary graphs in Hyperbolic space

CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search

Embed categorical variables via neural networks.

Embed trained machine learning predictors in JuMP

PyTorch implementation of StarSpace as described in "StarSpace: Embed All The Things!" by Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes and Jason Weston

Easy-to-embed Drift Detectors

Streamlit web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario.