Vector DB · Pinecone & pgvector · New York
Vector Search RAG & Semantic Retrieval Systems in New York
Expert Vector Search RAG & Semantic Retrieval Systems for companies in New York, USA. Direct founder architecture, scalable engineering, and 100% IP ownership.
✦ Direct Answer & Architecture Scope:
Vector search and RAG engineering by Jyotirmay Ray integrates Pinecone and pgvector to eliminate AI hallucinations, powering enterprise document retrieval and knowledge search. Dedicated engineering partner for clients across New York, New York (USA).
Production Deliverables & Milestone Roadmap
Bespoke Vector Search RAG & Semantic Retrieval Systems for New York Teams
100% Source Code Ownership & Repository Transfer
Direct Milestone-Based Sprints with Founder Jyotirmay Ray
Comprehensive Technical Testing & Production Deployment
Technical Architecture & Production Implementation
SYSTEM TOPOLOGY BLUEPRINT
Document Ingestion
├── Chunking & OpenAI text-embedding-3
├── Pinecone / pgvector Similarity Search Index
└── Grounded Prompt Assembly to LLM (Claude / GPT-4o)
VERIFIED CODE PATTERN
// Vector Semantic Query Matching
const queryEmbedding = await openai.embeddings.create({ model: "text-embedding-3-small", input: query });
const matches = await pineconeIndex.query({ vector: queryEmbedding.data[0].embedding, topK: 5, includeMetadata: true });Frequently Asked Questions & Technical Scope
Do you work with businesses based in New York?
Yes. We work extensively with clients across New York (USA), coordinating seamlessly across local time zones.
What is the timeline and milestone structure?
Typical development cycles run across structured 4 to 10 week milestone sprints with zero hidden charges.
Ready to build your Vector Search RAG & Semantic Retrieval Systems in New York?
Direct technical collaboration with founder-engineer Jyotirmay Ray. Zero middlemen, 100% intellectual property transfer, and rapid sprint delivery.