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Finance AI Guides

Finance AI Guides

Practical implementation guides for building AI systems in financial services — model selection, inference, compliance, data residency, and more.

3 Guides8 RAG Guides6 RAG Use Cases

Implementation Guides

In-depth guides for selecting, deploying, and operating AI in financial services.

InfrastructureIntermediate12 min read

How to Choose an LLM for Financial Services

A practical framework for selecting the right AI language model for your financial services use case — covering compliance, cost, context window, multilingual needs, and deployment options.

LLM selectionfinancial servicesAI models
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InfrastructureIntermediate12 min read

LLM Inference Providers for Financial Services — A Complete Guide

How to choose between AWS Bedrock, Azure OpenAI, Vertex AI, Groq, Together AI and more for financial AI — compliance, cost, latency, and data residency compared.

LLM inferenceAWS BedrockAzure OpenAI
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SecurityAdvanced14 min read

AI Data Residency for Financial Institutions — Compliance Guide

How financial institutions can deploy AI while meeting data residency requirements — GDPR, OCC, Basel, and regional regulations covered with practical deployment patterns.

data residencyGDPRcompliance
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Finance RAG Guides

Step-by-step guides for building RAG pipelines for financial documents.

Beginner8 min read

What is RAG for Financial Services?

A practical introduction to Retrieval-Augmented Generation for finance professionals — what it is, why it matters, and how financial institutions use it.

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Intermediate15 min read

Building a Financial Document RAG Pipeline

Step-by-step guide to building a RAG pipeline for financial documents — from document parsing through embedding to retrieval and generation.

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Intermediate10 min read

Chunking Strategies for Financial Reports

How to chunk financial documents for RAG — optimal strategies for annual reports, earnings calls, regulatory filings, and research reports.

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Intermediate10 min read

Choosing Embedding Models for Financial Text

How to choose the right embedding model for financial document RAG — comparing OpenAI, Cohere, FinBERT, Voyage Finance-2, and BGE-M3.

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Finance RAG Use Cases

Real-world RAG use cases in financial services.

Earnings Call RAG

Build a semantic search system over earnings call transcripts — extract guidance, sentiment, and key metrics from quarterly calls.

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Compliance Document RAG

Build a RAG system for compliance and regulatory documents — instant answers from AML policies, KYC procedures, and regulatory filings.

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Client Portfolio RAG

Build a personalized RAG system over client portfolio documents — statements, investment policies, and suitability assessments for advisors.

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AI ModelsFinance RAGData & IntelligenceAI Agents