I will build a custom LLM RAG pipeline with LangChain, LlamaIndex, and vector database
BESTSELLERAbout This Gig
Production-grade retrieval augmented generation (RAG) system with hybrid search, document chunking, embeddings, re-ranking, and low-latency API endpoints.
Why Choose Rakebig Engineering Squad?
- Production-Grade Quality: Built according to core platform standards with clean, maintainable code.
- 100% Source Code Ownership: You get full repository access and IP rights.
- Dedicated Support & SLA: Guaranteed post-delivery warranty and bug-fix SLA.
- Direct Developer Communication: Work directly with senior software architects and project leads.
Technologies & Frameworks Included
Compare Packages
| Package | Basic ₹4,499 ($59) | RECOMMENDED Standard ₹14,999 ($189) | Premium ₹34,999 ($439) |
|---|---|---|---|
| Package Name | Document Ingestion & Semantic Q&A | Advanced Hybrid RAG with Citations | Enterprise Self-Hosted Private RAG |
| Description | Vectorize up to 100 documents (PDF/CSV/Notion), Pinecone or ChromaDB setup, and query endpoint with OpenAI embeddings. | Production RAG architecture with BM25 + dense hybrid search, Cohere re-ranking, metadata filtering, citations, and FastAPI wrapper. | Enterprise-grade private RAG with local LLM (Ollama / vLLM / DeepSeek), role-based document access, Docker deployment, and enterprise data security. |
| Delivery Time | 2 Days | 5 Days | 10 Days |
| Revisions | 3 Revisions | Unlimited Revisions | Unlimited Revisions |
| Select Tier | Select Basic | Select Standard | Select Premium |
Get to Know the Developer
Rakebig AI Labs
Senior AI Research & RAG Engineers
Frequently Asked Questions
How does the ordering process work?
After selecting your desired package tier (Basic, Standard, or Premium), you can submit your project requirements. Our engineering team will review your specifications and begin development immediately.
Do I get full source code access?
Yes! 100% full source code ownership, repository commit access, and deployment playbooks are provided upon delivery.
What if I need custom modifications beyond the package?
You can contact our lead developers directly on WhatsApp or phone to request a custom tailored offer for bespoke enterprise features.
Vectorize up to 100 documents (PDF/CSV/Notion), Pinecone or ChromaDB setup, and query endpoint with OpenAI embeddings.
- Document parsing & chunking strategy
- Vector database setup (ChromaDB / Pinecone)
- Semantic similarity search endpoint
- Hallucination mitigation prompt guardrails
- API documentation & test curl scripts