Why I used a 50-year-old algorithm instead of embeddings to cut Claude API token costs

1. 1Build a local proxy using BM25 algorithm to filter relevant knowledge
2. 2Configure the proxy to route queries to Claude API
3. 3Test the proxy with sample queries to measure cost savings
4. 4Compare the cost of using BM25 with embeddings-based approach
5. 5Apply the optimized solution to production environment to reduce token costs

Developers and engineers working with language models can benefit from this approach to optimize costs and improve performance

💡 Using a traditional algorithm like BM25 can be more cost-effective than embeddings for certain use cases

📊 Cut Claude API token costs by 50% using a 50-year-old algorithm! 🤖