Hybrid Search

By following these steps, you can seamlessly integrate caching strategies with your existing FastAPI endpoints. This will help improve the performance and responsiveness of your hybrid search queries by leveraging in-memory caching with Red…

return JSONResponse(content={"error_code": e.status_code, "message": e.detail}, status_code=e.status_code) try: dense_results = call_dense_retrieval(query) except HTTPException as e: dense_results = {"re…

query = request.json['query'] results = es.search(index="documents", body={"query": {"match": {"text": query}}}) return jsonify(results) if __name__ == '__main__': app.run(host='0.0.0.0', port=5000) ``` - **Den…

@app.route('/hybrid-search', methods=['GET']) @cache.cached(timeout=60, query_string=True) # Cache for 1 minute async def hybrid_search(): query = request.args.get('query') async with aiohttp.ClientSession() as session: …

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…

- Initialize the rate limiter using `FastAPILimiter.init` in the `startup` event. 5. **Rate Limiting Decorator**: - Apply the `RateLimiter` decorator to the `/api/v1/hybrid-search` endpoint to enforce rate limiting. In this example, …

server backend3.example.com:8000; } server { listen 80; server_name yourdomain.com; location /api/v1/hybrid-search { proxy_pass http://api_backend; proxy_set_header Host $hos…

- **Load Testing**: Use tools like `wrk` or `locust` to perform load testing and ensure the endpoint can handle the required throughput. - **Monitoring**: Use tools like Prometheus and Grafana to monitor the endpoint's performance and healt…