Main / Cases / Building a RAG Pipeline with LangChain

Building a RAG Pipeline with LangChain

Sector:

Artificial Intelligence & ML Solutions

Sector:

DataMinds Ltd.

Strategic Challenge:

End-to-end walkthrough of a Retrieval-Augmented Generation pipeline using LangChain, Qdrant, and OpenAI.

Document Ingestion & Chunking

Splitting documents into semantically meaningful chunks and enriching them with metadata for better retrieval.

Embedding & Vector Store

Generating dense embeddings and storing them in Qdrant with payload filtering for hybrid retrieval.