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This PR has two contributions: 1. Add test for when stop token is found in middle of text 2. Add code coverage tooling and instructions - Add pytest-cov via poetry - Add necessary config files - Add new make instruction for `coverage` - Update README with coverage guidance - Update minor README formatting/spelling Co-authored-by: Hunter Gerlach <hunter@huntergerlach.com>
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🦜️🔗 LangChain
⚡ Building applications with LLMs through composability ⚡
Quick Install
pip install langchain
🤔 What is this?
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.
This library is aimed at assisting in the development of those types of applications.
📖 Documentation
Please see here for full documentation on:
- Getting started (installation, setting up the environment, simple examples)
- How-To examples (demos, integrations, helper functions)
- Reference (full API docs) Resources (high-level explanation of core concepts)
🚀 What can this help with?
There are four main areas that LangChain is designed to help with. These are, in increasing order of complexity:
- LLM and Prompts
- Chains
- Agents
- Memory
For more information on these concepts, please see our full documentation.
🤖 Contributing
As an open source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infra, or better documentation.
For detailed information on how to contribute, see here.