Today, we're excited to announce Collections API. With Collections, you can upload and search through entire datasets. From PDFs and Excel sheets to entire codebases, you can upload your files into a knowledge base that supports precise and fast search. This allows developers to build RAG applications without the headache of managing indexing and retrieval infrastructure.

To help you get started, we're making file indexing and storage free for the first week*, with retrieval priced at a flat rate of $2.50 per 1,000 searches. Indexing **Powerful document understanding**: We use OCR and layout-aware parsing to extract text while preserving structure such as the layout of a PDF, hierarchy of an Excel table, or the syntax of code. **Smart file management**: Easily upload, update, and download files. And when a file changes, our system efficiently reindexes it to ensure your collection is never stale. **Broad format support**: Collections supports a wide range of file types. (see full list) Retrieval

Choose the retrieval method that best fits your use case: **Semantic search**: To search using the meaning and intent behind a query. **Keyword search**: For precise term matching. **Hybrid search**: For the highest accuracy, combine keyword and semantic search. We support both a dedicated reranker model and reciprocal rank fusion.

What is our financial forecast for Q1 2026?

Financial_plan_2026.txt

Our company's annual financial projections indicate a robust growth trajectory for the upcoming fiscal year, with expected revenue increases driven by expanded market share in emerging sectors. Analysts predict a 15% rise in Q1 2026, bolstered by strategic investments in technology and supply chain optimization. Key metrics such as EBITDA and net profit margins are forecasted to improve. Benchmark Results

Our Collections API delivers state-of-the-art retrieval performance, matching or outperforming leading models in real-world RAG tasks across finance, legal, and coding domains.

These fields are especially challenging due to their long, dense documents. To avoid hallucinations and deliver reliable answers, models must retrieve the exact passages and reason over them accurately. Accuracy*