https://github.com/milvus-io/bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
https://github.com/milvus-io/bootcamp
audio-search benchmark-testing deep-learning hacktoberfest image-classification image-recognition image-search milvus nlp python question-answering unstructured-data
Last synced: 23 days ago
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Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- Host: GitHub
- URL: https://github.com/milvus-io/bootcamp
- Owner: milvus-io
- License: apache-2.0
- Created: 2019-08-09T10:00:06.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-10-28T04:04:52.000Z (6 months ago)
- Last Synced: 2024-10-29T15:39:30.379Z (6 months ago)
- Topics: audio-search, benchmark-testing, deep-learning, hacktoberfest, image-classification, image-recognition, image-search, milvus, nlp, python, question-answering, unstructured-data
- Language: HTML
- Homepage: https://milvus.io
- Size: 195 MB
- Stars: 1,861
- Watchers: 35
- Forks: 575
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- StarryDivineSky - milvus-io/bootcamp
README
## :bird: What You Can Do
Begin an interactive journey to master [Milvus](https://milvus.io), enhancing your projects with seamless integration and optimization tools.
- **Explore Tutorials:** Dive into notebooks that walk you through diverse Milvus use cases.
- **Deploy Demos:** Build your own demo to see Milvus in action.
- **Discover Use Cases:** Learn how Milvus integrates with other tools and frameworks through practical examples.
- **Expand Your Skills:** Apply evaluation methods to test and optimize your applications.
## :pencil: Examples
You can explore a comprehensive [Tutorials Overview](https://milvus.io/docs/tutorials-overview.md) covering topics such as Retrieval-Augmented Generation (RAG), Semantic Search, Hybrid Search, Question Answering, Recommendation Systems, and various quick-start guides. These resources are designed to help you get started quickly and efficiently.
Image Search
RAG
Drug Discovery
Here is a selection of demos and tutorials to show how to build various types of AI applications made with Milvus:
| Tutorial | Use Case | Related Milvus Features |
| ----------- | -------- | -------- |
| [Build RAG with Milvus](https://milvus.io/docs/build-rag-with-milvus.md) | RAG | vector search |
| [Advanced RAG Optimizations](https://milvus.io/docs/how_to_enhance_your_rag.md) | RAG | vector search, full text search |
| [Full Text Search with Milvus](https://milvus.io/docs/full_text_search_with_milvus.md) | Text Search | full text search |
| [Hybrid Search with Milvus](https://milvus.io/docs/hybrid_search_with_milvus.md) | Hybrid Search | hybrid search, multi vector, dense embedding, sparse embedding |
| [Image Search with Milvus](https://milvus.io/docs/image_similarity_search.md) | Semantic Search | vector search, dynamic field |
| [Multimodal Search using Multi Vectors](https://milvus.io/docs/multimodal_rag_with_milvus.md) | Semantic Search | multi vector, hybrid search |
| [Movie Recommendation with Milvus](https://milvus.io/docs/movie_recommendation_with_milvus.md) | Recommendation System | vector search |
| [Graph RAG with Milvus](https://milvus.io/docs/graph_rag_with_milvus.md) | RAG | graph search |
| [Use Milvus as a LangChain Vector Store](https://milvus.io/docs/basic_usage_langchain.md) | RAG | vector search |
| [RAG with Milvus and LlamaIndex](https://milvus.io/docs/integrate_with_llamaindex.md) | RAG | vector search |
| [Contextual Retrieval with Milvus](https://milvus.io/docs/contextual_retrieval_with_milvus.md) | Quickstart | vector search |
| [Vector Visualization](https://milvus.io/docs/vector_visualization.md) | Quickstart | vector search |
| [HDBSCAN Clustering with Milvus](https://milvus.io/docs/hdbscan_clustering_with_milvus.md) | Quickstart | vector search |
| [Use ColPali for Multi-Modal Retrieval with Milvus](https://milvus.io/docs/use_ColPali_with_milvus.md) | Quickstart | vector search |
## :fire: Community
Join the Milvus community on [Discord](https://discord.gg/8uyFbECzPX) to share your suggestions, advice, and questions with our engineering team.
To learn latest news about Milvus, follow us on social media:
- [X](https://twitter.com/milvusio)
- [LinkedIn](https://www.linkedin.com/company/the-milvus-project)
- [Youtube](https://www.youtube.com/channel/UCMCo_F7pKjMHBlfyxwOPw-g)
- [Medium](https://medium.com/@milvusio)
You can also check out our [FAQ page](https://milvus.io/docs/performance_faq.md) to discover solutions or answers to your issues or questions, and subscribe to Milvus mailing lists:
- [Technical Steering Committee](https://lists.lfai.foundation/g/milvus-tsc)
- [Technical Discussions](https://lists.lfai.foundation/g/milvus-technical-discuss)
- [Announcement](https://lists.lfai.foundation/g/milvus-announce)
Let's accelerate your Milvus journey together!