This preview gives developers a taste of what’s coming next: an intelligent search engine built directly into the GPT-4o ecosystem.
- AI Developers: Power intelligent chatbots that can look things up across custom knowledge bases.
- Enterprise Product Teams: Build internal tools that retrieve company-specific documents instantly.
- Customer Support Engineers: Use retrieval-augmented models to resolve tickets with the most relevant help docs.
- Knowledge Management Platforms: Offer semantic, AI-driven search across entire document libraries.
- Legal, Finance & Compliance Analysts: Extract references from large volumes of structured/unstructured data.
- Educators & EdTech Builders: Build tutors that cite sources or retrieve definitions from a knowledge base.
🛠️ How to Use GPT-4o Search Preview?
- Step 1: Access via OpenAI API: The feature is currently in preview and accessible via GPT-4o’s search-related API functionality.
- Step 2: Upload & Index Your Data (coming soon): For future use cases, developers will be able to upload documents or link external datasets.
- Step 3: Use Retrieval-Enhanced Prompts: Ask questions that require factual lookup or document-based answers, and the model will retrieve relevant information.
- Step 4: Get Cited, Contextual Results: GPT-4o can provide excerpts, citations, and reasoning backed by the data it retrieved.
- Step 5: Use in Apps & Workflows: Ideal for chatbots, dashboards, internal tools, and any AI interface where knowledge lookup is critical.
- Retrieval-Augmented Generation (RAG): Combines search with generation for grounded, data-backed answers.
- Highly Accurate & Relevant: Retrieves meaningful context rather than just keyword matches.
- Multilingual Search: Performs semantic search across languages, not just in English.
- Designed for GPT-4o: Fully compatible with GPT-4o’s multimodal capabilities and speed.
- Citation-Aware: Surfaces not just answers—but where the answers came from.
- Smarter Over Time: As OpenAI adds data upload and indexing, it will evolve into a full-fledged enterprise search engine.
- Context-Aware Search: Doesn’t just find matches—understands intent.
- Combines Knowledge + Reasoning: Retrieves, then explains or expands.
- Multilingual Ready: Great for global datasets and non-English queries.
- Backed by GPT-4o: Real-time, fast, and fluent in answering complex queries.
- Perfect for RAG Workflows: Seamlessly fits into retrieval-based app architecture.
- Still in Preview: Not fully open or production-ready yet.
- No User Uploads (Yet): Currently limited to OpenAI's internal datasets—no external data ingestion.
- Few API Options: Still evolving, with limited endpoints and features.
- Early Stage for Enterprise Use: Advanced filtering, ranking, and indexing tools are still in the works.
- Requires Prompt Engineering: You’ll need to write smart queries to get smart results.
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Perplexity AI
Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.
Perplexity AI
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Chat01.ai is a platform that offers free and unlimited chat with OpenAI 01, a new series of AI models. These models are specifically designed for complex reasoning and problem-solving in areas such as science, coding, and math, by employing a "think more before responding" approach, trying different strategies, and recognizing mistakes.
Chat 01 AI
Chat01.ai is a platform that offers free and unlimited chat with OpenAI 01, a new series of AI models. These models are specifically designed for complex reasoning and problem-solving in areas such as science, coding, and math, by employing a "think more before responding" approach, trying different strategies, and recognizing mistakes.
Chat 01 AI
Chat01.ai is a platform that offers free and unlimited chat with OpenAI 01, a new series of AI models. These models are specifically designed for complex reasoning and problem-solving in areas such as science, coding, and math, by employing a "think more before responding" approach, trying different strategies, and recognizing mistakes.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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