#Apache 2.0

Chroma is an open-source embedding database optimized for LLM application development in Python and JavaScript. It features a simple in-memory setup for prototyping with options for data persistence and supports powerful document management and querying tools via a minimalist API. Fully typed, tested, and documented, Chroma integrates easily with systems such as LangChain and LlamaIndex, facilitating natural language processing and custom embedding. Licensed under Apache 2.0, it fosters rapid development and scalability from local environments to large-scale clusters. Explore further at trychroma.com.

Discover a collection of Large Language Models (LLMs) that are commercially licensed, featuring models such as T5, GPT-NeoX, and ChatGLM3. Learn about their parameters, context lengths, licensing arrangements, and opportunities for use. Suitable for companies and developers aiming to utilize advanced language technologies, the selection includes models like T5, RWKV, and Falcon, under licenses such as Apache 2.0 and MIT. Engage with open-source initiatives such as Bloom and Pythia, offering models for various languages and needs, from compact options like DLite to extensive ones like Bloom and LLaMA 2.

The project facilitates the generation of high-complexity instructions from instruct-tuned LLM models, enabling fine-tuning with open-source Apache 2.0 models without TOS violations. It auto-generates detailed, research-focused Q:A pairs, supporting the development of open ChatGPT alternatives. Designed for technically skilled users, the project requires a Python setup and offers customizability to meet specific research objectives while aiming to address response quality and improve operational efficiency.