Join
Osdire Freelance Marketplace

I will build custom rag (retrieval-augmented generation) pipelines

Khaal
Khaal

RAG Infrastructure Audit

Audit your current vector setup and provide a technical implementation roadmap.

Delivery Time
3 Days

Service details

The Problem With Standard AI If your company is feeding proprietary data into a standard LLM prompt window, you are risking massive data leaks and suffering from severe AI hallucinations. Standard AI integrations often fail because they lack the context needed to give highly specific, deterministic answers. Generic models simply guess the next word based on public data, which is useless for specialized enterprise workflows.

The Custom RAG Solution The only way to securely and accurately query your internal company data is through a custom Retrieval-Augmented Generation (RAG) pipeline. I architect enterprise-grade RAG systems that connect your private databases directly to advanced language models without compromising your intellectual property. 

By utilizing powerful vector databases like Pinecone or Weaviate, I ensure the AI retrieves exact, verifiable facts before generating a response.

What My Architecture Delivers:

  • Zero Hallucinations: Every AI response is grounded strictly in your verified internal documentation and returns explicit source citations.
  • Uncompromising Data Security: Your proprietary data never leaves your controlled environment, is encrypted at rest, and is never used to pre-train public models.
  • Automated Data Ingestion: I build seamless integration pipelines that continuously sync with your existing PostgreSQL databases, complex PDF archives, and internal company wikis.

Why Work With Me I am a Senior Machine Learning Engineer focused entirely on deterministic, production-ready AI infrastructure. I build robust asynchronous Python backends that handle high-load concurrency with zero latency.

Key details

  • RAG Component
    Retriever SetupVector Store ConfigurationPrompt Template DesignModel Integration
  • Data Source
    DocumentsKnowledge BaseAPIDatabase
Special note from freelancer
Khaal
Khaal
My RAG systems solve AI hallucinations by grounding every response in your proprietary documentation with verifiable, source-cited results.

FAQs

I typically deploy Pinecone, Weaviate, or ChromaDB, depending on your specific data volume and retrieval latency requirements.
Khaal

Khaal

Machine Learning Engineer |Database Administration |Backend Developer

Stop paying for scripts that break in production. I am a Senior Backend and ML Engineer specializing in robust data infrastructure and deterministic AI workflows. I build edge-case-proof architectures that scale securely. Core Expertise: Unstructured Data to JSON Pipelines LLM Evaluation and Validation High-Concurrency PostgreSQL Architecture Secure Python API Automation I do not use no-code tools. Let's build an enterprise architecture that actually works.

Launch Offer Earn up to $500* extra on your first 10 offers created

Terms and conditions apply

Start Earning Now