removing answers from summaries for video qa

Author: wjohnsto

docs/howtos/solutions/vector/video-qa/index-video-qa.mdx

@@ -73,46 +73,15 @@ application by replacing multiple traditional technologies with one solution.
 Example Questions and Answers:
 
 Q1: What is Redis Stack and what role does it play in the application?
-A1: Redis Stack is an extension to Redis that adds additional modules, turning it
-into a multi-model database. In the application, it is used for storing various
-types of data and managing real-time communication between microservices.
-
 Q2: How is the stock watch list stored and managed within the application?
-A2: The watch list is stored as a Redis set which helps automatically prevent
-duplicate stock symbols. In addition, further information about each stock is
-stored in JSON documents within Redis Stack.
-
 Q3: What type of data does the application store using time series capabilities of
 Redis Stack?
-A3: The application uses time series data to store and retrieve the price movements
-of the stocks, making it easy to query over a date range and to visualize chart
-data with time on the x-axis.
-
 Q4: Can you explain the use of the Top-K filter in the application?
-A4: The Top-K filter is a feature of Redis Bloom that is used to maintain a
-leaderboard of the most frequently traded stocks on the watch list, updating every
-minute with the number of trades that happen.
-
 Q5: What methods are used to update the front end with real-time information in
 the application?
-A5: WebSockets are used to receive real-time updates for trending stocks, trades,
-and stock bars from the API service, which, in turn, receives the information from
-Redis Pub/Sub messages generated by the streaming service.
-
 Q6: How does the application sync the watch list with the streaming service?
-A6: The application listens to the watch list key space in Redis for updates. When
-a stock is added or removed from the watch list on the front end, the API
-communicates this to Redis, and the streaming service then subscribes or
-unsubscribes to updates from the Alpaca API for that stock.
-
 Q7: What frontend technologies are mentioned for building the UI of the application?
-A7: The UI service for the front end is built using Tailwind CSS, Chart.js, and
-Next.js, which is a typical tech stack for creating a modern web application.
-
 Q8: How does Redis Insight help in managing the application data?
-A8: Redis Insight provides a visual interface to see and manage the data structures
-used in Redis Stack, including JSON documents, sets, and time series data related
-to the stock information in the application.
 ```
 
 3. **Data storage with Redis**: All generated data, including video summaries, potential questions, and vector embeddings, are stored in Redis. The app utilizes Redis's diverse data types for efficient data handling, caching, and quick retrieval.
@@ -462,46 +431,15 @@ application by replacing multiple traditional technologies with one solution.
 Example Questions and Answers:
 
 Q1: What is Redis Stack and what role does it play in the application?
-A1: Redis Stack is an extension to Redis that adds additional modules, turning it
-into a multi-model database. In the application, it is used for storing various
-types of data and managing real-time communication between microservices.
-
 Q2: How is the stock watch list stored and managed within the application?
-A2: The watch list is stored as a Redis set which helps automatically prevent
-duplicate stock symbols. In addition, further information about each stock is
-stored in JSON documents within Redis Stack.
-
 Q3: What type of data does the application store using time series capabilities of
 Redis Stack?
-A3: The application uses time series data to store and retrieve the price movements
-of the stocks, making it easy to query over a date range and to visualize chart
-data with time on the x-axis.
-
 Q4: Can you explain the use of the Top-K filter in the application?
-A4: The Top-K filter is a feature of Redis Bloom that is used to maintain a
-leaderboard of the most frequently traded stocks on the watch list, updating every
-minute with the number of trades that happen.
-
 Q5: What methods are used to update the front end with real-time information in
 the application?
-A5: WebSockets are used to receive real-time updates for trending stocks, trades,
-and stock bars from the API service, which, in turn, receives the information from
-Redis Pub/Sub messages generated by the streaming service.
-
 Q6: How does the application sync the watch list with the streaming service?
-A6: The application listens to the watch list key space in Redis for updates. When
-a stock is added or removed from the watch list on the front end, the API
-communicates this to Redis, and the streaming service then subscribes or
-unsubscribes to updates from the Alpaca API for that stock.
-
 Q7: What frontend technologies are mentioned for building the UI of the application?
-A7: The UI service for the front end is built using Tailwind CSS, Chart.js, and
-Next.js, which is a typical tech stack for creating a modern web application.
-
 Q8: How does Redis Insight help in managing the application data?
-A8: Redis Insight provides a visual interface to see and manage the data structures
-used in Redis Stack, including JSON documents, sets, and time series data related
-to the stock information in the application.
 ```
 
 The `vector embedding chain` is used to generate vector embeddings for the video summaries. This is done by asking the LLM to generate text embeddings for the summary. The `vector embedding chain` is defined as follows: