Andrej Baranovskij Blog

To process complex layout docs and improve data retrieval from invoices or bank statements, we are implementing Sparrow Parse. It works in c...

Data processing in LLM RAG is very important, it helps to improve data extraction results, especially for complex layout documents, with lar...

Data preprocessing is important step for LLM pipeline. I show various approaches to preprocess invoice data, before feeding it to LLM. This ...

Documents like invoices or receipts can be processed by LLM directly, without RAG. I explain how you can do this locally with Ollama and Ins...

With Instructor library you can implement simple RAG without Vector DB or dependencies to other LLM libraries. The key RAG components - good...

In this tutorial, I do a code walkthrough and demonstrate how to implement the RAG pipeline using Unstructured, LangChain, and Pydantic for ...

Using unstructured library to pre-process PDF document content, to be in a cleaner format. This helps LLM to produce more accurate response....