It is the easiest way for customers to build and scale generative AI-based applications using FMs, democratizing access for all builders. | It is a unified framework for developing LLM-based application patterns including Retrieval Augmented Generation (RAG). It provides an integrated set of tools that anyone can use – from a beginner to the most sophisticated AI developer. |
Create new pieces of original content;
Build conversational interfaces;
Create realistic and artistic images;
Personalization | Assemble and query knowledge base;
Simple, unified abstraction across 50+ models;
Swappable embedding models and vector databases;
Scalable ingestion |
Statistics | |
GitHub Stars - | GitHub Stars 14.4K |
GitHub Forks - | GitHub Forks 3.0K |
Stacks 17 | Stacks 1 |
Followers 11 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.

Build, train, and deploy state of the art models powered by the reference open source in machine learning.

It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.