RAG System Integration Company in Kochi

Businesses in Kochi need strong digital systems to compete. Our rag system integration services are tailored to the local market—whether you are a startup or an established company in South India.

LangChain, Vector DBs, OpenAI, Open source LLMs

Frequently asked questions

What is RAG and when is it useful?

RAG combines retrieval from your documents with a language model to answer questions using your data. It's useful for internal Q&A, support bots, and knowledge search when you need answers grounded in your own content.

How do you handle data security and access control?

We design RAG pipelines with access control at ingestion and query time. Sensitive data can be scoped by user, role, or tenant. We follow your compliance requirements and recommend best practices for vector and LLM security.

What types of documents can you ingest?

We support PDFs, Word, markdown, web pages, and structured data. Pipelines include chunking, optional OCR, and metadata so the model retrieves the right context. Custom connectors can be added for your systems.

Do you use proprietary or open-source LLMs?

We use both depending on cost, latency, and data residency. OpenAI, Anthropic, and open-source models (e.g. Llama, Mistral) can be integrated. We help you choose and tune for accuracy and budget.

How long does a typical RAG integration take?

A focused pilot (single use case, one document set) can be live in 4–8 weeks. Full production systems with multiple sources and SLAs typically take 2–4 months. We provide a phased plan at kickoff.

Do you offer ongoing tuning and support?

Yes. We offer retainers for monitoring, prompt and retrieval tuning, and adding new data sources or models as your needs evolve.

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