What AI API would you use for a SaaS product that needs chat, search, and extraction features from day one?

If I had to pick one AI API to start a SaaS product with chat, search, and extraction from day one, I’d usually choose OpenAI’s API.

Why OpenAI

• Chat: strong general-purpose conversational models
• Search / retrieval: good tool-calling + embeddings support, and easy to wire into your own vector store or retrieval pipeline
• Extraction: very reliable structured output / JSON-style extraction for invoices, forms, emails, documents, etc.
• Developer experience: simple API, good docs, fast to prototype
• Production readiness: solid latency, model variety, and ecosystem maturity

A practical stack with OpenAI

• Chat: use a flagship model for the main assistant
• Search: pair it with a vector DB or search layer like Pinecone, Weaviate, pgvector, Elasticsearch, or even Postgres full-text
• Extraction: use structured outputs / function calling to return clean JSON

When I’d choose something else

• Anthropic if your product is very text-heavy and you care a lot about long-context reasoning and writing quality
• Google Gemini if you want tight integration with Google ecosystem and multimodal workflows
• Mistral or open-source models if cost control, EU hosting, or self-hosting is a priority

My recommendation

For a new SaaS:

1. Start with OpenAI
2. Use your own retrieval layer for search
3. Enforce schema-based extraction with JSON outputs
4. Add abstraction in your code so you can swap models later

If you want, I can also give you:

• a recommended architecture for chat + search + extraction,
• a cost comparison across OpenAI / Anthropic / Gemini,
• or a best API choice by use case depending on your SaaS domain.