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Made in BR Brazil AI for Developers

Nama — AI for Software Development

Build and deploy production-grade RAG applications on your company's knowledge base using a robust, scalable API.

Unify corporate data, reduce rework, and accelerate responses with advanced semantic search and a developer-friendly infrastructure.

Best forAI for Developers
DifferentiatorProduction-grade RAG API with 99.9% uptime and advanced search features.
ProofClaims 99.9% availability, advanced RAG, and is used by companies like Canon and Seguros Unimed.
Explore Nama
Pricing on request
6.8 Zekai
Production-Ready RAG API
AI for Software Development
Ease of Use
7.2
Accuracy
7.2
Value
6.0
Time Saving
6.6
API AccessRAGSemantic SearchAnalyticsEnterprise Security
📊 Independently reviewed and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026
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Zekai Verdict

What is it?
Nama is an AI platform for software development that enables you to build and integrate advanced RAG (Retrieval-Augmented Generation) applications.
Best for
It's best for development teams needing a scalable, API-first platform to quickly build and deploy custom RAG-powered…
Not ideal for
Pricing is not transparent and requires a sales demo.
Price
Pricing on request
Zekai Score
6.8/10
Visit official site ↗Compare alternatives →Why this score →
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Hand-scored by Zekai

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⚡ Quick answer

For software development, Nama is a powerful AI platform for teams that need to build and deploy production-grade Retrieval-Augmented Generation (RAG) applications without building the infrastructure from scratch. It provides a robust, scalable API with a 99.9% uptime guarantee and advanced features like hybrid search and reranking, enabling developers to quickly integrate intelligent search and chatbots into their products.

CategoryAI RAG Platform
Best ForDevelopers building custom RAG applications
Price FromOn request
Free14-day Trial
DifferentiatorProduction-grade RAG API with 99.9% uptime and advanced search features.
ProofClaims 99.9% availability, advanced RAG, and is used by companies like Canon and Seguros Unimed.
Rating6.8/10
📖 About Nama
How It Works

Your workflow, automated

1
Connect Your Data
Securely integrate your internal knowledge sources, documents, and databases to a central repository to feed the AI models.
2
Create RAG Agents
Develop specialized agents using advanced RAG, semantic search, and reranking, tailored to your specific business domain or use case.
3
Deploy via API or Smartpages
Publish your agents to provide accurate, source-grounded answers through a robust API integrated into your applications or via no-code Smartpages.
Ready to automate your workflow with Nama?
Explore Nama →
Real Impact

Before & After

❌ Before

Building and maintaining custom RAG pipelines is complex and resource-intensive.

Months of dev time
✅ After

Deploy production-grade RAG applications quickly via a scalable, managed API.

Integration in minutes
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Summarize policy with retention clause

Review the provided policy document (e.g., Policy v7.docx) and extract all details regarding retention clauses. Specifically, identify the duration of data retention and any associated conditions or exceptions mentioned …

Analyze financial spreadsheet for premium split

Analyze the consolidated financial spreadsheet (e.g., orcamento-consolidado-FINAL-v3.xlsx) to determine the split of written premium by line of business. Calculate the percentage contribution of each line (e.g., Auto, Vi…

Check product recall eligibility

Given a product serial number (e.g., S/N 8841-0032) and a recall bulletin (e.g., Recall RB-2214.pdf), determine if the product is eligible for recall. Cross-reference the serial number against the ranges specified in the…

AI Prompts

Prompts for Developers

Prompt 01 Sample Prompt for AI App Prototyping
Generate a functional prototype for a mobile app called 'PlantPal'. It's for new plant owners. Key Screens: - **Onboarding:** A simple 3-step intro to the app's features. - **Login/Sign-up:** Email and password authentication. - **My Plants…
Prompt 02 Generate a Function Docstring
Analyze the following TypeScript function. Write a complete TSDoc comment for it. Explain what the function does, describe each parameter (including its type and purpose), and describe the return value. [[Paste your code here]]
Prompt 03 React Component Refactor with Context
I need to refactor a React component located at `src/components/OldProfile.tsx`. **Goal:** Create a new component `src/components/ProfileHeader.tsx` by extracting the header logic from `OldProfile.tsx`. **Context:** - The new `ProfileHead…
See all 29 AI prompts for Developers →
Social Proof

Trusted by professionals

Ease of Use
7.2
Accuracy
7.2
Value
6.0
Time Saving
6.6

"The API is robust and the documentation is clear. We integrated a semantic search feature into our main product in a fraction of the time it would have taken to build ourselves."

David L., Lead Developer · June 2026

"Nama's ability to process and understand our complex internal documents has been a game-changer for our support team's co-pilot."

Maria S., AI Engineer · May 2026

"It's a powerful platform, but the lack of transparent pricing made the initial evaluation process slow. The results are good, but you're definitely locked into their ecosystem."

Kenji T., Engineering Manager · June 2026

"The 99.9% uptime guarantee was a key factor for us. The platform has been reliable and performant for our customer-facing chatbot."

Fatima A., Product Lead · April 2026
See Plans & Pricing →
Connects With

Nama integrations

Flexible APIs and connectors to integrate with existing systems and data sources.
Setup complexity: Intermediate
Nama is an AI platform for software development that enables you to build and integrate advanced RAG (Retrieval-Augmented Generation) applications. It provides a scalable infrastructure and API to connect internal data sources, create specialized AI agents, and deploy them to power custom chatbots, internal search, and other intelligent systems.
Comparison

Best Nama alternatives

Nama's primary alternative is building a custom RAG pipeline using open-source frameworks like LangChain or LlamaIndex. Choose a custom build when you require absolute control over every component, from the embedding model to the vector store, or need to use highly specific, niche open-source tools. Opt for Nama when speed-to-market and reliability are paramount. Its managed infrastructure, 99.9% uptime guarantee, and pre-built advanced features like reranking and hybrid search allow your team to focus on the application layer instead of complex backend infrastructure, making it ideal for enterprise-grade deployments where maintenance and scalability are key concerns.

You need full, low-level control over your RAG pipeline architecture.
Your project requires using specific open-source models or vector databases not supported by the platform.
You have a limited budget and prefer to use open-source tools to avoid vendor lock-in.
The decision

Is Nama worth it?

Return on investment
By using Nama's managed API instead of building a RAG pipeline from scratch, a development team can save months of engineering time, justifying the enterprise subscription cost within a single project.
Built for
Software developers, AI/ML engineers, and technical leads looking to integrate Retrieval-Augmented Generation (RAG) capabilities into their applications or internal systems.
Effort to adopt
Intermediate
Compliance
Compliance posture not publicly documented — verify with vendor.
Who It's For

Why Software Development choose this tool

🎯
Built for
It's best for development teams needing a scalable, API-first platform to quickly build and deploy custom RAG-powered applications on top of proprietary company data.
In-Depth Overview
For software developers, Nama abstracts away the significant complexity of building a production-ready Retrieval-Augmented Generation (RAG) system from scratch. Instead of spending months on infrastructure, you can leverage Nama's enterprise-grade API to integrate advanced AI capabilities directly into your applications. The platform is built for performance, offering a robust and scalable infrastructure with a guaranteed 99.9% uptime, crucial for client-facing or mission-critical tools. Proof of its developer focus lies in its 'Enterprise API' and dedicated 'AI infrastructure for developers'. Nama provides advanced RAG features out-of-the-box, including semantic search, reranking, and intelligent query decomposition, which deliver more accurate results than basic keyword search. With comprehensive documentation and flexible connectors, you can connect your systems and proprietary data sources 'in minutes'. This allows your team to focus on building unique application features rather than managing vector databases, chunking strategies, and model hosting, accelerating your development lifecycle and delivering value faster.

Key Use Cases

🧑‍💻
Build a custom support co-pilot
Software Developer
Use the Nama API to create an internal co-pilot that provides instant, accurate answers to your support team's questions, based on your knowledge base.
Reduce human response time
🤖
Integrate advanced search into an existing product
ML Engineer
Leverage the hybrid and semantic search capabilities via API to upgrade your application's search functionality, providing more relevant results than keyword search.
Superior results to keyword search
🚀
Prototype and deploy intelligent agents rapidly
Tech Lead
Quickly connect data sources and use the platform to build and test specialized RAG agents for legal or customer-facing use cases without building the underlying infrastructure.
Deploy AI solutions in days, not months
✓ Pros
Robust, scalable API designed for high-performance production use.
Guaranteed 99.9% uptime for critical applications.
Advanced RAG features like reranking and hybrid search out-of-the-box.
Comprehensive developer documentation for fast integration.
Includes tools for monitoring AI performance and user feedback.
· Cons
Pricing is not transparent and requires a sales demo.
Less low-level control over the AI pipeline compared to building from scratch.
Creates vendor lock-in for a core part of an application's intelligence.
⚡ Editorial Verdict

Nama offers a compelling solution for developers who want to bypass the complexities of building a RAG system from the ground up. The robust API, focus on scalability (99.9% uptime), and advanced features like hybrid search provide a solid foundation for production applications. The main trade-off is the platform's opaqueness; you're buying into their specific infrastructure, which might limit fine-grained control compared to a self-built solution.

See all 441 AI tools for Developers → Browse the AI Directory →
Questions & Answers

Frequently asked questions

What is the best AI platform for building production RAG applications?

+
Nama is a strong choice for building production RAG applications, especially when speed and reliability are priorities. It provides a managed infrastructure, a scalable API with 99.9% uptime, and advanced search features, allowing developers to focus on application logic rather than backend complexity.

What kind of API does Nama provide for developers?

+
Nama offers a robust and scalable Enterprise API designed for high performance. It allows you to integrate advanced RAG and semantic search capabilities into your own applications, create custom chatbots, and automate complex tasks. The platform provides complete documentation for rapid integration.

How does Nama ensure the security and compliance of my data?

+
Nama provides an enterprise security framework with granular access controls to manage data and feature permissions precisely. While it states it ensures regulatory compliance, specific certifications like SOC 2 or GDPR are not listed, so you should verify with the vendor.

How can I integrate an AI knowledge base into my company's software?

+
Nama allows you to do this via its API. You connect your data sources (documents, databases) to the platform, create AI agents to query this knowledge, and then use the API to integrate this functionality into your software, enabling features like intelligent search or co-pilots.

What makes Nama's RAG different from a basic implementation?

+
Nama's RAG is described as 'Advanced RAG'. It goes beyond basic retrieval by incorporating features like hybrid search (combining keyword and semantic search), reranking for improved accuracy, and intelligent decomposition of complex queries to provide more precise, relevant answers.

Does Nama offer a free tier for developers to experiment with?

+
Nama does not offer a permanent free tier. However, it provides a 14-day free trial that includes access to all platform functionalities and dedicated support, allowing developers to fully evaluate its capabilities.

Last reviewed:

Plans & Pricing

Nama pricing and plans

Pro
Pricing on request
Custom pricing provided after a demo. A 14-day free trial with full functionality is available.
Start Pro Plan

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with the Nama API
  • This guide will walk you through building your first RAG application with Nama.
  • **What is Nama?** An overview of its managed RAG infrastructure.
  • **Core Concepts:** Understanding Agents, Semantic Search, and the API.
  • **Authentication:** How to get and use your API keys.
  • **Use Case:** Building an internal documentation search engine.
+5 more steps inside the guide
Send me the full guide

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About Nama

Full Description

Nama is an AI platform for software development that enables you to build and integrate advanced RAG (Retrieval-Augmented Generation) applications. It provides a scalable infrastructure and API to connect internal data sources, create specialized AI agents, and deploy them to power custom chatbots, internal search, and other intelligent systems.

Editorial Verdict

Nama offers a compelling solution for developers who want to bypass the complexities of building a RAG system from the ground up. The robust API, focus on scalability (99.9% uptime), and advanced features like hybrid search provide a solid foundation for production applications. The main trade-off is the platform's opaqueness; you're buying into their specific infrastructure, which might limit fine-grained control compared to a self-built solution.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Nama unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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