Cache Retrieval

Here's a step-by-step example using Python and Redis to implement caching: #### 1. Install Redis and Redis-Py Ensure you have Redis installed and the `redis-py` client library: ```sh pip install redis ``` #### 2. Set Up Redis Configurat…

Tagging cache entries can help you invalidate specific sets of data when underlying data changes. #### Example with Tags ```python # Tag the cache entry tag_key = f"tag:{request.query}" r.sadd(tag_key, cache_key) # Invalidate cache entri…

except requests.exceptions.Timeout as e: raise HTTPException(status_code= 504, detail=str(e)) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @app.post("/api/v1/hybrid-search", response_mo…

except requests.exceptions.ConnectionError as e: raise HTTPException(status_code=503, detail=str(e)) except requests.exceptions.Timeout as e: raise HTTPException(status_code=504, detail=str(e)) except Exception a…

# Run the main function asyncio.run(main()) ``` ### Explanation 1. **Tokenization and Segmentation**: - Use `truncation=True` and `max_length=self.max_tokens` to ensure that the input sequence is truncated if it exceeds the maximum len…

```sh pip install redis ``` 3. **Modify Your Application to Use Redis**: Integrate Redis caching into your application to store and retrieve intermediate results. ### Example Implementation Here's how you can integrate Redis …

- The `max_workers` parameter controls the number of threads used for parallel processing. - The `batch_size` parameter controls the number of queries processed in each batch. 3. **Caching**: - The `reformulate` method checks if t…

- Serialize the query results to JSON using `json.dumps`. - Store the serialized results in Redis with a key that includes the query ID. - Use `setex` to set the key with an expiration time to ensure the cache is refreshed periodic…