LangChain: Question Answering with Qdrant and GPT-3.5 Turbo
This article describes a Python script that leverages LangChain, Qdrant, and the GPT-3.5 Turbo model to perform question-answering on text data. The script combines various libraries to create an end-to-end pipeline for text retrieval and question answering. Overview The provided Python script showcases how to integrate multiple libraries to build a powerful question-answering system: Prerequisites […]
Text Embedding and Upsert with Qdrant in Python
This article describes a Python script that demonstrates how to efficiently process text data, create embeddings, and upsert the embeddings into a Qdrant database using Python. Overview In today’s era of big data and machine learning, efficient text processing and vectorization are crucial for various natural language processing (NLP) tasks. The provided Python script showcases […]