Skip to content
#

large-language-models

Here are 2,176 public repositories matching this topic...

big-AGI

Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

  • Updated May 13, 2024
  • TypeScript

JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. 🌵 🦙 🔥 ❤️ 🖖🏼

  • Updated May 13, 2024
  • TypeScript
haystack

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  • Updated May 13, 2024
  • Python

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

  • Updated May 13, 2024
  • HTML

Improve this page

Add a description, image, and links to the large-language-models topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the large-language-models topic, visit your repo's landing page and select "manage topics."

Learn more