results

- The `model.generate` method is used to generate the answer based on the tokenized input. The `with torch.no_grad()` context manager disables gradient calculation, which is not needed during inference and helps save memory. 4. **Decodi…

from pydantic import BaseModel app = FastAPI() class QueryRequest(BaseModel): query: str class QueryResponse(BaseModel): results: list @app.post("/retrieve", response_model=QueryResponse) def retrieve(query_request: QueryRequest…

"query": "example query", "parameters": { "limit": 10, "offset": 0, "sort_by": "relevance", "filters": { "category": "books", "price_range": "10-50" } } } ``` * **Response**: JSO…

from fastapi import FastAPI, Depends, HTTPException from pydantic import BaseModel from typing import List, Optional from sqlalchemy.orm import Session from fastapi_sqlalchemy import DBSessionMiddleware, db app = FastAPI() # Example in-me…

from fastapi import FastAPI, Depends from pydantic import BaseModel from typing import List, Optional import redis from fastapi.middleware.cors import CORSMiddleware app = FastAPI() # Initialize Redis client r = redis.Redis(host='localhos…

from fastapi.middleware.trustedhost import TrustedHostMiddleware from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.gzip import GZipMiddleware from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware app…

- **Batch Processing**: If possible, batch process multiple requests together to reduce the overhead of individual validations. - **Caching**: Use caching to store and reuse the results of expensive operations, as previously discussed. - …

1. **Pydantic Model Optimization**: - Use `Field` to add constraints like `gt` (greater than) and `lt` (less than) to validate the `limit` field. 2. **Caching**: - Use Redis to cache the results of frequent queries to reduce the o…

This service will aggregate results from both sparse and dense retrieval services. ```python from fastapi import FastAPI, HTTPException from pydantic import BaseModel import requests app = FastAPI() class SearchQuery(BaseModel): quer…

from prometheus_client import start_http_server, Summary, Counter app = FastAPI() # Prometheus metrics REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request') TOTAL_REQUESTS = Counter('total_requests', 'Total…

from prometheus_client import start_http_server, Summary, Counter app = FastAPI() # Prometheus metrics REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request') TOTAL_REQUESTS = Counter('total_requests', 'Total…

except requests.exceptions.Timeout as e: client.put_log_events( logGroupName='your-log-group', logStreamName='your-log-stream', logEvents=[ { …

Here's an example implementation using FastAPI, Redis for caching, and a load balancer: ```python from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from pydantic import BaseModel …

Here's an example implementation using FastAPI: ```python from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer from pydantic import BaseModel import requests from tenacity import ret…