AI Dev Tool: PostgreSQL pgvector Hybrid BM25 + Cosine Reranker Pipeline

1. The Production Bottleneck

We engineered this zero-bloat Python 3.12+ / AsyncIO blueprint to enforce bounded concurrency, deterministic exponential backoff with jitter, strict schema validation at the ingestion boundary, and structured JSON telemetry—ready to drop into production without weeks of plumbing.

2. Request & Execution Architecture

3. Production Benchmarks

"""AI Dev Tool: PostgreSQL pgvector Hybrid BM25 + Cosine Reranker Pipeline

This module implements a PostgreSQL pgvector hybrid BM25 + cosine reranker pipeline.
The architecture consists of a PostgreSQL database with pgvector extension, which provides
efficient vector similarity search. The pipeline uses bounded concurrency to prevent
overwhelming the database with too many concurrent requests.

To use this module, run it from the command line with the following options:
    -h, --help            show this help message and exit
    --host HOST           PostgreSQL host
    --port PORT           PostgreSQL port
    --database DATABASE   PostgreSQL database
    --user USER           PostgreSQL user
    --password PASSWORD   PostgreSQL password
    --query QUERY         query to search for
    --k K                 number of results to return
    --concurrency CONCURRENCY  bounded concurrency

Example usage:
    python ai_dev_tool.py --host localhost --port 5432 --database mydb --user myuser --password mypassword --query "example query" --k 10 --concurrency 5
"""

import argparse
import dataclasses
import json
import logging
import random
import time

5. Choose Your Access Tier

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6. Frequently Asked Engineering Questions

7. Related Production Blueprints