# Multimodal prompt library

> AI-ranked search results for `multimodal prompts` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 115 total matches; showing the top 2.

Explore on the web: https://awesome-repositories.com/q/multimodal-prompts

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/multimodal-prompts).**

## Results

- [madcowd/ell](https://awesome-repositories.com/repository/madcowd-ell.md) (5,874 ⭐) — Ell is a Python library that treats prompts as callable functions, transforming a Python function into a language model program where the docstring defines the system message and the return value defines the user message. It provides a framework for writing language model programs that can accept and return images, audio, and text natively within message objects, and supports chaining multiple model calls into a single function for multi-step reasoning or test-time compute.

The library decouples model selection from client instantiation through a registry that supports multiple provider backe
- [imclumsypanda/langchain-chatglm](https://awesome-repositories.com/repository/imclumsypanda-langchain-chatglm.md) (38,183 ⭐) — This project is a LangChain-based framework for building retrieval-augmented generation systems, autonomous agents, and multimodal chatbots. It functions as an open-source orchestrator that connects local inference engines and online APIs to manage various large language model deployments.

The system distinguishes itself by providing specialized interfaces for local knowledge bases, allowing the loading and vectorization of private documents to create context-aware assistants. It also supports multimodal capabilities, enabling the processing of both text and image inputs through vision-capabl
