Popular GitHub Repositories for Gist 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.

Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied with elaborately-written concise descriptions to help readers get the gist as quickly as possible.

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

Curation of resources for LLM research, screened by @tongyx361 to ensure high quality and accompanied with elaborately-written concise descriptions to help readers get the gist as quickly as possible.

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