What is LangChain?
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.
LangChain is a tool in the Large Language Model Tools category of a tech stack.
LangChain is an open source tool with GitHub stars and GitHub forks. Here’s a link to LangChain's open source repository on GitHub
Who uses LangChain?
Companies
6 companies reportedly use LangChain in their tech stacks, including Shelf, Coral, and Support chatbot.
Developers
33 developers on StackShare have stated that they use LangChain.
LangChain Integrations
Google Drive, Amazon S3, Elasticsearch, Notion, and Google Cloud Storage are some of the popular tools that integrate with LangChain. Here's a list of all 30 tools that integrate with LangChain.
LangChain's Features
- Prompt management
- Prompt optimization
- Provides a standard interface for chains
- Summarization
LangChain Alternatives & Comparisons
What are some alternatives to LangChain?
Hugging Face
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
LLM
It is a Rust ecosystem of libraries for running inference on large language models, inspired by llama.cpp. On top of llm, there is a CLI application, llm-cli, which provides a convenient interface for running inference on supported models.
Haystack NLP Framework
Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT, etc.). It offers production-ready tools to build NLP backend services, e.g., question answering or semantic search.
Haystack NLP Framework
Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT, etc.). It offers production-ready tools to build NLP backend services, e.g., question answering or semantic search.
Chroma
It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
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