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Engineering12 min read

Automated Financial Statement Extraction from PDFs Using LLMs

by Cognica Team | November 18, 2025

We introduce the process of building a system that automatically extracts and normalizes financial statements from PDFs in various formats using Large Language Models (LLMs). We cover data model design with Structured Output and Pydantic, the extraction process through Google Gemini API, and post-processing methods applicable to real-world scenarios, all implemented in about 200 lines of code.

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Engineering14 min read

Why Did We Store Two-Dimensional Vectors for Vector Search?

by Cognica Team | July 17, 2024

Explains the limitations and characteristics of vector embeddings and covers the improvements made to store them.

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Engineering13 min read

Searching Case Law Data with Natural Language

by Cognica Team | July 4, 2024

Explains how to build a natural language search service by applying vector search to a case law search demo using FTS.

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Engineering10 min read

Making Case Law Data Quickly Searchable

by Cognica Team | June 21, 2024

Explains the process of downloading case law data and building a case law search service in just one day using Cognica.

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Engineering20 min read

Applying Natural Language Search to Product Search

by Cognica Team | June 12, 2024

We explain the process of data collection and processing, search, and service development for product search using Cognica. Learn how to index when structured and unstructured data are mixed, and how to transform queries for search using LLM.

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