⚡ Optimize sequential embedding generation to run in parallel

[Hardonian]

💡 What: The optimization implemented replaces the sequential await inside the for loop with Promise.all to map over the records and await the resolutions in parallel.

🎯 Why: The previous code blocked the execution sequentially on each embedding API call for each record. Parallelizing this removes unnecessary wait times allowing the network requests to be processed simultaneously.

📊 Measured Improvement:
A benchmark test script was written which uses a mocked EmbeddingAdapter introducing a 5ms delay per document simulating latency. The benchmark generated 100 fake records and processed them through the ingestRecords function.

• Baseline: ~541.7 ms
• Optimized: ~9.1 ms
• Improvement: ~59.5x performance boost over the baseline.

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PR created automatically by Jules for task 778323757274041040 started by @Hardonian

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