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Fix Xeon reference per its trademark (#803)

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Signed-off-by: Malini Bhandaru <malini.bhandaru@intel.com>
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Malini Bhandaru
2024-09-12 21:08:55 -07:00
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VideoQnA/README.md
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@@ -85,14 +85,14 @@ flowchart LR
DP <-.->|d|VDB
```
- This project implements a Retrieval-Augmented Generation (RAG) workflow using LangChain, Intel VDMS VectorDB, and Text Generation Inference, optimized for Intel XEON Scalable Processors.
- This project implements a Retrieval-Augmented Generation (RAG) workflow using LangChain, Intel VDMS VectorDB, and Text Generation Inference, optimized for Intel Xeon Scalable Processors.
- Video Processing: Videos are converted into feature vectors using mean aggregation and stored in the VDMS vector store.
- Query Handling: When a user submits a query, the system performs a similarity search in the vector store to retrieve the best-matching videos.
- Contextual Inference: The retrieved videos are then sent to the Large Vision Model (LVM) for inference, providing supplemental context for the query.
## Deploy VideoQnA Service
The VideoQnA service can be effortlessly deployed on Intel XEON Scalable Processors.
The VideoQnA service can be effortlessly deployed on Intel Xeon Scalable Processors.
### Required Models