raininfotech.com valid

Rain Infotech

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T15:21:52.790Z. Cached copy · Source on raininfotech.com

Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website.

# Rain Infotech

## Sitemaps
- [XML Sitemap](https://www.raininfotech.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [Generative AI Integration: Add LLM Features to a Product](https://www.raininfotech.com/generative-ai-integration-guide/): Most teams can get an LLM demo working in a day. The hard part of generative AI integration is adding that feature to a live product without leaking one customer's data to another, slowing the interface, or breaking when the model provider has an outage. This guide covers the decisions a product or engineering lead needs to make before the first LLM feature ships.
- [ERC-3643 vs ERC-20 for Tokenized Assets: Which to Use](https://www.raininfotech.com/erc-3643-vs-erc-20-tokenized-assets/): If you are tokenizing a real-world asset on Ethereum or an EVM chain, the token standard decides who can hold the token, which transfers succeed, and what the issuer can do when something goes wrong. The choice usually comes down to ERC-3643 or plain ERC-20. This guide compares the two using the published EIP specifications, and explains what neither standard does for you.
- [Agentic RAG: What a RAG Agent Is and When to Use One](https://www.raininfotech.com/agentic-rag-agent-guide/): Agentic RAG is retrieval-augmented generation in which a language model decides how to search, not just what to answer. Standard RAG retrieves relevant passages once and passes them to the model in a single prompt. In agentic RAG, the model acts as a controller: it can split a question into sub-queries, search more than once, choose between sources and tools, and check its draft against the evidence before answering.
- [AI Document Processing: When to Use LLMs vs Rule-Based](https://www.raininfotech.com/ai-document-processing-llm-vs-rules/): AI document processing turns invoices, statements, forms, and contracts into structured data that other systems can use. The key design decision is how fields are extracted: with fixed rules and templates, with language or vision models, or with a mix of both. The right choice depends on how much your documents vary and how costly a wrong value is.
- [AI Development Partner: 10 Questions to Ask Before Hiring](https://www.raininfotech.com/ai-development-partner-questions/): Choosing an AI development partner is mostly a test of how a team works, not how well it presents. The wrong choice can leave you with a fragile prototype, unclear ownership of what was built, and running costs nobody planned for. These 10 questions help a founder or CTO compare agencies on the points that decide whether an AI system works in production.
- [IT Support Chatbot vs AI Agent: What to Build First](https://www.raininfotech.com/it-support-chatbot-vs-ai-agent/): An IT support chatbot answers employees' IT questions from a knowledge base: how to set up a VPN, what the device policy says
…

Machine-readable: GET /v1/resolve?q=raininfotech.com · GET /v1/domain/raininfotech.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for raininfotech.com:
1. POST https://agentwebmap.com/v1/sites/raininfotech.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://raininfotech.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/raininfotech.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/raininfotech.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.