# Cohere — Build a Financial Research Assistant with Cohere AI on AWS

- Company: Cohere (cohere.com)
- Announced: 2026-10-29
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://cohere.com/blog/financial-research-assistant-cohere-aws
- Record: https://forck.live/items/28910-build-a-financial-research-assistant-with-cohere-ai-on-aws
- Subject: Command
- Models affected: Cohere Embed, Embed Pro, Embed Fast, Cohere Rerank, Rerank Pro, Rerank Fast, Cohere Parse, Anthropic Claude

Cohere published a guide for building a financial research assistant on AWS that searches filings and answers questions with page-level citations. The design combines Cohere Embed for search, Rerank for ordering results, and Parse for turning hard pages into clean text, with Anthropic Claude on Amazon Bedrock writing the answers. Cohere says the problem is that the number an analyst needs usually sits in a table, footnote or chart, and that converting a PDF to plain text loses row and column relationships, reorders multi-column pages and drops charts. The guide recommends Embed Pro for high-quality document indexing and Embed Fast for low-latency queries, with configurable embedding dimensions and quantization to balance accuracy and storage. Rerank Pro reorders retrieved pages, and Context Focus marks the passages that answer the question to cut the text sent to the answer model. A CloudFormation-based demo lets teams deploy the stack in their own AWS account and compare results with and without Rerank.

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