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MIT License | ||
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Copyright (c) [year] [your full name] | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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# LangChain & Vector Databases Learning Repository | ||
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This repository is dedicated to my learning journey through the [LangChain & Vector Databases in Production](https://learn.activeloop.ai/courses/langchain) course offered by Activeloop. The course is part of the Gen AI 360 Foundational Model Certification and focuses on mastering Large Language Models (LLMs) and Vector Databases. | ||
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## Course Overview | ||
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- **LangChain**: A robust framework for building applications with LLMs. | ||
- **Vector Databases**: Understanding Deep Lake, a groundbreaking vector database for all AI data. | ||
- **Projects**: 10+ practical projects to build real-world applications. | ||
- **Duration**: 40+ hours of learning content. | ||
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## What's Inside This Repository | ||
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- **Code Snippets**: Various code examples and exercises from the course. | ||
- **Projects**: Complete projects developed during the course. | ||
- **Notes**: Personal notes and insights related to LangChain and Vector Databases. | ||
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## How to Use This Repository | ||
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Feel free to explore the code and projects. If you have any questions or suggestions, please open an issue or submit a pull request. | ||
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## Progress | ||
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### Completed Modules | ||
- [x] Course Introduction | ||
- [x] From Zero to Hero | ||
- [x] Large Language Models and LangChain | ||
- [x] Learning How to Prompt | ||
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### Currently Working On | ||
- [ ] Keeping Knowledge Organized with Indexes | ||
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### Upcoming Modules | ||
- [ ] Combining Components Together with Chains | ||
- [ ] Giving Memory to LLMs | ||
- [ ] Making LLMs Interact with the World Using Tools | ||
- [ ] Using Language Model as Reasoning Engines with Agents | ||
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## License | ||
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This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details. | ||
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## Acknowledgments | ||
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- Thanks to Activeloop for providing this comprehensive course. | ||
- Special shoutout to the community and fellow learners for the support and collaboration. | ||
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--- | ||
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Feel free to connect with me on [LinkedIn](https://www.linkedin.com/in/letlhogonolo-fanampe-32ba9540/) or follow me on [GitHub](https://github.com/djpapzin). | ||
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Happy Learning! |