I will professionally create a rag knowledge base from your documents

Need to turn your documents into a reliable knowledge base for an AI or RAG application?

I will transform your documents into a RAG-ready knowledge base by extracting, cleaning, chunking, embedding, and storing your data in a vector database.

As an AI/ML Engineer specializing in Generative AI, Retrieval-Augmented Generation (RAG), LLM applications, embeddings, and vector databases, I focus on creating structured and retrieval-friendly data that can be integrated into your AI system.

What I can do for you:

Extract and clean text from PDF, DOCX, TXT

Remove unnecessary or repetitive content

Split documents into optimized text chunks

Configure chunk size and chunk overlap

Generate vector embeddings

Add useful metadata such as source, document ID, and chunk ID

Store embeddings in ChromaDB, Qdrant, or other supported vector databases

Create a structured RAG knowledge base ready for retrieval

Organize data for LangChain and LLM pipelines

Perform basic retrieval testing to verify that your knowledge base works correctly

Ideal for:

AI chatbots

RAG applications

Document Q&A systems

Customer support knowledge bases

Research