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Most teams make models generate text. Few make them work reliably in production.
You need a system. A model is not enough.
RAG improves accuracy. It gives the model your business data during a request.
Fine-tuning works for specific formats. Use it for specialized task behavior across many requests.
Choose your vector database based on scale and budget. Pinecone, Weaviate, OpenSearch, and Chroma are good options.
Lower your costs with these steps:
- Use caching.
- Optimize prompts.
- Compress responses.
- Filter retrieval.
Open-source models are not always cheaper. Maintenance and scaling costs add up.
Success depends on system design. Focus on retrieval and observability. Prompt management and operational discipline matter most.
Share your experience with AI systems in the comments.
Source: https://dev.to/dixit_angiras_1f2a7cb300d/how-to-build-production-ready-generative-ai-development-services-for-enterprise-applications-2fj Optional learning community: https://t.me/GyaanSetuAi