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$
USD
I will build rag pipelines with langchain and openai for your ai product
Maaz
5.0
5.0
About this gig
Need AI search that actually understands your data?
I build production ready RAG pipelines that turn your documents into intelligent, context-aware AI systems for SaaS products.
With 25+ AI applications deployed (120K+ users, 2x Product Hunt #1), I specialize in RAG architectures that scale. Your users get accurate answers, not generic AI responses.
What you get:
- Custom RAG pipeline with OpenAI/Claude embeddings
- Vector database setup (Pinecone, Qdrant, or Weaviate)
- Multi-source ingestion (PDFs, databases, APIs, web content)
- Semantic search with metadata filtering
- Query optimization & response caching
- Citation generation for source transparency
- LangChain implementation with modular architecture
- Production-ready API with comprehensive documentation
Tech stack:
LangChain, OpenAI/Claude APIs, Pinecone/Qdrant, Next.js/React integration, Python/TypeScript, PostgreSQL with pgvector
Perfect for:
SaaS platforms adding AI search, customer support chatbots with company knowledge, documentation Q&A systems, research tools with paper analysis
All code is clean, commented, and yours to own. No black boxes.
️MESSAGE BEFORE ORDERING!
Get to know Maaz
Maaz
AI SaaS And RAG Systems Expert Nextjs MERN Stack LLM Integration
- FromPakistan
- Member sinceJan 2023
- Last delivery1 year
Languages
English, German, Spanish, French
I'm a Full-Stack AI SaaS Engineer specializing in Next.js, MERN Stack, and LLM integration. With 25+ AI applications shipped and 120K+ users served, I build production-ready AI products that scale.
I develop multi-tenant SaaS platforms, RAG pipelines, AI voice agents, and real-time systems using Next.js, React, Node.js, PostgreSQL, MongoDB, and Redis. My AI stack includes OpenAI, Claude, LangChain, and vector databases for semantic search.
Delivered 2 products ranked #1 on Product Hunt. Clients trust me for clean architecture and fast delivery
Discuss your project before ordering.
My Portfolio
FAQ
What is a RAG pipeline and why does my SaaS need one?
RAG (Retrieval Augmented Generation) connects AI models like GPT-4 to YOUR data. Instead of generic responses, users get accurate answers from your documents and databases. Perfect for AI chatbots, semantic search, documentation Q&A, and customer support automation using LangChain and vector db
Which vector databases do you support for RAG systems?
I support all major vector databases: Pinecone (managed, easiest), Qdrant (open-source, high performance), Weaviate (hybrid search), Chroma (local dev), pgvector (PostgreSQL), and Milvus (enterprise scale). I recommend based on your budget, scale, and infrastructure during pre-order consultation.
Can you integrate RAG into my Next.js, React, or Node.js app?
Yes! I specialize in Next.js, React, and Node.js RAG integration. You get RESTful API endpoints, streaming responses, TypeScript support, and React hooks for easy frontend integration. Works with all modern frameworks: Remix, SvelteKit, Nuxt, Astro. Includes full API documentation and code examples.
How many documents can your RAG pipeline handle?
Basic: 100 docs (~5MB). Standard: 500 docs (~50MB). Premium: Unlimited with auto-scaling. Supports PDFs, Word, text files, web pages, Notion, Confluence, Google Docs, databases, and APIs. All packages include document chunking, embedding generation, and metadata extraction for optimal search
What's the difference between Basic, Standard, and Premium RAG packages?
Basic: Simple RAG with 1 data source, OpenAI embeddings, Pinecone setup. Standard: 3 sources, custom chunking, query caching, metadata filtering, monitoring dashboard. Premium: 5+ sources, custom embedding fine-tuning, hybrid search, real-time sync, admin dashboard, deployment included
Which LLM models do you integrate for RAG systems?
I integrate all major LLMs: OpenAI (GPT-4, GPT-3.5-turbo), Anthropic Claude (Sonnet, Opus), Google (Gemini, PaLM), Cohere, and open-source models (Llama, Mistral, Falcon). All implementations use LangChain for easy model switching. I recommend based on your accuracy needs, budget, and response time
Can RAG work with real-time data and live database updates?
Yes! Standard and Premium packages include real-time data sync. I implement webhooks, database triggers, or polling mechanisms to automatically update your vector database when source data changes. Works with PostgreSQL, MongoDB, MySQL, REST APIs, and SaaS tools like Notion, Airtable, or Salesforce
Reviews
2 reviews for this Gig
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Rating Breakdown
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- Quality of delivery
- Value of delivery
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gillmore783
Ghana
I hired Maaz to customize my woocommerce store and he was up to the task. He is one of the web developers you may want to work with. I will be hiring him again.
Up to $50
Price
4 days
Duration
Helpful?H 
happyworld2
Egypt
It was great working with you guys. Very professional and friendly team. I will do more projects with you.
$100-$200
Price
4 weeks
Duration
Helpful?
Reviews
2 reviews for this Gig
| (2) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
Most relevant
G gillmore783
Ghana
I hired Maaz to customize my woocommerce store and he was up to the task. He is one of the web developers you may want to work with. I will be hiring him again.
Up to $50
Price
4 days
Duration
Helpful?H happyworld2
Egypt
It was great working with you guys. Very professional and friendly team. I will do more projects with you.
$100-$200
Price
4 weeks
Duration
Helpful?
