Why is Metadata Important in GenAI?
Blog post from Vectara
Vectara has introduced a new feature that allows users to update which metadata fields can have filters and what their data types are. This feature is part of the company's hybrid search capabilities, which mix different operations such as keyword, vector, boolean, and structured search. The new feature enables users to add or remove filterable metadata fields without reindexing existing data. It also allows users to update the data type of a field, making it easier to apply filters and improve the security of their applications. This feature is designed to provide better relevance and security for end-users, while also simplifying the process of building retrieval augmented generation (RAG) systems.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 5 | 3,222 | 391 | 126 | +3% |
| RAG | 5 | 1,169 | 164 | 57 | +46% |
| AI Model Fine-tuning | 1 | 604 | 122 | 56 | +7% |
| Reinforcement learning | 1 | 106 | 26 | 15 | +10% |
| Vector Search | 1 | 2,634 | 269 | 90 | +49% |
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