Andrej Baranovskij Blog

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....

I explain key points you should keep in mind when upgrading to LlamaIndex 0.10.x.   

I explain how function calling works with LLM. This is often confused concept, LLM doesn't call a function - LLM retuns JSON response wi...

I explain how to handle file upload with FastAPI and how to process the file by using Python temporary directory. Files placed into temporar...

LlamaIndex Text Completion function allows to execute LLM request combining custom data and the question, without using Vector DB. This is v...