There are a wide variety of different use cases for information retrieval and vector-powered retrieval systems.
Our use cases include:
- Different examples of problems you can solve using vector retrieval, improving performance in your ML Stack
- Case studies written by practitioners sharing their experiences working with these systems
- Deep dives into specific parts of the ML pipeline, highlighting key considerations when moving vector-driven outputs and experiments into production
In the blog section, we collate examples of these use cases and case studies from our contributors discussing how they use and improve information retrieval systems to solve real-world problems.
We are always looking to expand our Use Cases and share the latest thinking. So if you've been working on something and would like to share your experiences with the community, you get in touch and contribute.