# LangChainAI

- Page: https://shared.btbytes.com/p/langchainai
- Date: 2023-05-07
- Tags: llm

[LangChainAI](https://python.langchain.com/en/latest/),  is a framework ([python](https://shared.btbytes.com/p/python) library, and also [javascript](https://shared.btbytes.com/p/javascript)), for developing application powered by [llm](https://shared.btbytes.com/p/llm).

1.  Be data-aware: connect a language model to other sources of data
2.  Be agentic: Allow a language model to interact with its environment

Value props of LangChainAI:

1. components:
	1. schema
	2. models
	3. prompts
	4. indexes
	5. memory
	6. chains
	7. agents
2. use-case specific chains.
	1. personal assistants
	2. question answering over docs
	3. chatbots
	4. querying tabular data
	5. interacting with APIs
	6. extraction
	7. evaluation
	8. summerization

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- A good [Discussion about LangChain et. al](https://x.com/headinthebox/status/1778632652779888787) by Erik Meijer.