AI Development Services India — Generative AI Integration in 4–6 Weeks
Add LLM-powered features — chat, semantic search, document summarization, AI agents — to your existing app in 4–6 weeks. Production RAG on Pinecone or Weaviate. LangChain and LangGraph agents. LLM cost control from day one. 25+ production GenAI features shipped in 2025–2026.
AI features, in production
LLM chat + assistants
Production-grade chat over your data. Streaming, conversation memory, tool use, function calling.
RAG-based search
Pinecone, Weaviate, pgvector. Embeddings, chunking strategy, re-ranking, hybrid search.
AI agents
LangChain, LangGraph, Claude tool use. Multi-step workflows with planning, memory, and verification.
Document AI
PDF/image extraction, structured-data parsing, classification, summarization at scale.
Fine-tuning + evals
OpenAI fine-tuning, prompt evaluation harnesses, A/B testing, regression suites for prompts.
LLM cost control
Token budgets, model fallback (Haiku → Sonnet → Opus), caching, prompt compression.
Production-tested AI stack
| Layer | Default choice | Why |
|---|---|---|
| Frameworks | LangChain, LangGraph, Vercel AI SDK | Production-tested orchestration; agent + RAG primitives. |
| Models | Anthropic Claude (Opus, Sonnet, Haiku) + OpenAI | Multi-vendor fallback; cost optimization across tiers. |
| Vector DB | Pinecone, Weaviate, pgvector | Pinecone for managed scale; pgvector when Postgres is already there. |
| Eval + observability | LangSmith, Helicone, custom eval harnesses | Catch prompt regressions before users do. |
AI integration pricing — indicative
| Engagement | Time | Starting from |
|---|---|---|
| AI integration sprint (single feature) | 6 weeks | From $10,800 |
| RAG + chat MVP (deployed) | 12 weeks | From $48,000 |
| Multi-agent platform with evals | 16–20 weeks | From $79,500 |
AI development, answered
Yes, that's the most common engagement. We onboard onto your existing repo, add the AI feature as a new module (chat, search, agent, document AI), and ship in 4–6 weeks. No platform rewrite. Average AI integration sprint is 6 weeks for a single production-quality feature.
Add a production AI feature in 6 weeks.
Start with AI-based prototyping, see all productized packages, or talk to us about a flagship offshore development center in india engagement.