# LangChain

> language model application development framework

**Wikidata**: [Q117340550](https://www.wikidata.org/wiki/Q117340550)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/LangChain)  
**Source**: https://4ort.xyz/entity/langchain

## Summary
LangChain is a software framework designed for developing applications powered by language models. It provides tools and abstractions to build complex workflows involving large language models (LLMs), making it easier for developers to integrate AI capabilities into their applications.

## Key Facts
- Founded by Harrison Chase, an American entrepreneur and programmer.
- Licensed under the MIT License, allowing broad reuse and modification.
- First released on GitHub as `hwchase17/langchain`, later moved to the official organization repository at `langchain-ai/langchain`.
- Depends on several core libraries including SQLAlchemy, Tenacity, Pydantic, Requests, and NumPy.
- Available via PyPI under the project name `langchain` with recent versions including 0.0.73 (released January 27, 2023).
- Hosted on platforms such as GitHub, Discord, Twitter, LinkedIn, YouTube, and Reddit.
- Maintains a blog at https://blog.langchain.dev/ and documentation site at https://langchain.com/.
- Has over 210,000 followers on Twitter/X as of August 26, 2025.

## FAQs
### Q: What is LangChain used for?
A: LangChain is used to develop applications that leverage language models like GPT. It simplifies tasks such as chaining prompts, integrating external data, and managing memory across interactions.

### Q: Who created LangChain?
A: LangChain was created by Harrison Chase, who also co-founded the company behind the framework.

### Q: Is LangChain free to use?
A: Yes, LangChain is open-source software distributed under the permissive MIT License.

## Why It Matters
LangChain plays a pivotal role in democratizing access to advanced natural language processing technologies. By abstracting away many complexities involved in working with LLMs—such as prompt management, context retention, and integration with APIs—it enables developers to rapidly prototype and deploy intelligent applications without deep expertise in machine learning. This has accelerated innovation in fields ranging from customer support chatbots to automated content generation systems. Its modular architecture supports extensibility through integrations with databases, vector stores, and third-party services, making it adaptable to diverse application requirements.

## Notable For
- Being one of the first widely adopted frameworks specifically built around language model application development.
- Supporting both synchronous and asynchronous execution patterns using libraries like `aiohttp`.
- Providing built-in components for handling document loaders, text splitters, embeddings, and retrieval mechanisms.
- Having strong community engagement evidenced by active repositories, forums, blogs, and social media presence.
- Rapid iteration cycle with frequent minor releases improving functionality and fixing bugs.

## Body
### Overview
LangChain is a Python-based framework aimed at simplifying the creation of applications driven by large language models. It offers reusable modules for common operations such as prompting, parsing outputs, connecting to external APIs, and maintaining conversational state.

### Technical Details
#### Dependencies
LangChain relies on multiple foundational packages:
- **SQLAlchemy**: Used for database interaction and ORM features.
- **Tenacity**: Employed for retry logic when calling external APIs or services.
- **Pydantic**: Utilized for validating inputs and outputs within chains.
- Other dependencies include `Requests`, `NumPy`, `PyYAML`, `dataclasses-json`, `openapi-schema-pydantic`, `numexpr`, and `aiohttp`.

#### Version History
Releases between January 16 and January 27, 2023 included versions 0.0.64 through 0.0.73, indicating rapid early development cycles.

#### Hosting Platforms
The project maintains official presences on:
- GitHub (`github.com/langchain-ai`)
- Twitter/X (`@langchainai`)
- LinkedIn (`linkedin.com/company/langchain`)
- Discord (`discord.gg/6adMQxSpJS`)
- YouTube (`youtube.com/@LangChain`)
- Reddit (`reddit.com/r/LangChain`)

#### Community & Resources
LangChain actively engages users through:
- A dedicated blog at https://blog.langchain.dev/
- Comprehensive documentation hosted at https://langchain.com/
- An active GitHub topic page listing related projects and discussions.

### Founding and Development
Founded by Harrison Chase, LangChain emerged during late 2022 amid growing interest in generative AI. The initial codebase was published on GitHub under his personal account before transitioning to a dedicated organizational repo managed by the LangChain team.

### Licensing and Distribution
Licensed under the MIT License, LangChain allows unrestricted commercial and non-commercial usage. It's distributed primarily through PyPI as the `langchain` package but can also be installed manually from source.

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## References

1. [Release 0.0.64. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.64)
2. [Release 0.0.65. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.65)
3. [Release 0.0.66. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.66)
4. [Release 0.0.67. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.67)
5. [Release 0.0.68. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.68)
6. [Release 0.0.69. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.69)
7. [Release 0.0.70. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.70)
8. [Release 0.0.71. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.71)
9. [Release 0.0.72. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.72)
10. [Release 0.0.73. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.73)
11. [Release 0.0.74. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.74)
12. [Release 0.0.75. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.75)
13. [Release 0.0.76. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.76)
14. [Release 0.0.77. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.77)
15. [Release 0.0.78. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.78)
16. [Release 0.0.79. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.79)
17. [Release 0.0.80. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.80)
18. [Release 0.0.81. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.81)
19. [Release 0.0.82. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.82)
20. [Release 0.0.83. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.83)
21. [Release 0.0.84. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.84)
22. [Release 0.0.85. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.85)
23. [Release 0.0.86. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.86)
24. [Release 0.0.87. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.87)
25. [Release 0.0.88. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.88)
26. [Release 0.0.89. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.89)
27. [Release 0.0.90. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.90)
28. [Release 0.0.91. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.91)
29. [Release 0.0.92. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.92)
30. [Release 0.0.93. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.93)
31. [Release 0.0.94. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.94)
32. [Release 0.0.95. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.95)
33. [Release 0.0.96. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.96)
34. [Release 0.0.97. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.97)
35. [Release 0.0.98. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.98)
36. [Release 0.0.99. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.99)
37. [Release 0.0.100. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.100)
38. [Release 0.0.101. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.101)
39. [Release 0.0.102. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.102)
40. [Release 0.0.103. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.103)
41. [Release 0.0.104. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.104)
42. [Release 0.0.105. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.105)
43. [Release 0.0.106. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.106)
44. [Release 0.0.107. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.107)
45. [Release 0.0.108. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.108)
46. [Release 0.0.109. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.109)
47. [Release 0.0.110. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.110)
48. [Release 0.0.111. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.111)
49. [Release 0.0.112. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.112)
50. [Release 0.0.113. 2023](https://github.com/hwchase17/langchain/releases/tag/v0.0.113)