Azumo is a software and AI development company that lists its headquarters in San Francisco, California. Its RAG practice covers the full pipeline: document ingestion and chunking, embeddings, vector storage, hybrid retrieval, reranking and response generation with citations.
The company also builds evaluation frameworks that check groundedness, relevance and factual accuracy before release, and monitors systems in production. Its site names vector stores such as Pinecone, Weaviate, pgvector, Chroma and Qdrant, along with LangChain and LlamaIndex, and describes delivery through proofs of concept, custom AI development and dedicated AI teams.
Key Facts
- Best for:
- Companies that want a RAG build with evaluation set up before deployment
- Core services:
- RAG development, custom AI development, LLM fine-tuning, dedicated AI teams
- RAG focus:
- Ingestion, hybrid retrieval, reranking, cited answers, evaluation and monitoring
- Location:
- San Francisco, California (headquarters)
- Notable strength:
- Combining RAG with model fine-tuning where a project calls for both
ScienceSoft is an IT consulting and software development company headquartered in McKinney, Texas, in the Dallas area. RAG appears across its AI development services: enterprise knowledge assistants, RAG-based document intelligence added to existing software, and RAG as one of several model adaptation methods next to fine-tuning and agent orchestration.
Its site describes preparing data for retrieval by cleaning, deduplicating, chunking and indexing content with permissions applied, and adding safeguards such as permissioned retrieval, redaction and prompt-injection defenses. The listed technologies include Graph RAG, Faiss, ChromaDB, Qdrant, Weaviate, OpenSearch and pgvector, with industries such as healthcare, insurance, finance, manufacturing and retail.
Key Facts
- Best for:
- Enterprises adding RAG to existing software and internal knowledge systems
- Core services:
- AI consulting, AI software development, generative AI, data science, software modernization
- RAG focus:
- Knowledge assistants, document intelligence, Graph RAG, permissioned retrieval
- Location:
- McKinney, Texas (headquarters)
- Notable strength:
- RAG delivered as part of wider enterprise software and data work
Keyhole Software is a software consultancy headquartered in Lenexa, Kansas, near Kansas City, with additional consulting teams in St. Louis, Missouri, Denver, Colorado, and Lincoln and Omaha, Nebraska. It offers enterprise RAG architecture consulting and implementation, and its site states that its consultants are based in the United States.
The RAG service covers strategy and architecture design, application development, data integration and retrieval, and optimization, evaluation and scaling. Implementation work described on the site includes document ingestion, chunking, embeddings and indexing, vector search, reranking, prompt design, permissioning and monitoring. Engagements can run as outsourced projects, dedicated teams, advisory work or staff augmentation.
Key Facts
- Best for:
- Mid-sized and enterprise organizations that want an onshore US consulting team
- Core services:
- RAG architecture, enterprise AI, custom software development, modernization, staff augmentation
- RAG focus:
- Architecture design, retrieval pipelines, permissioning, evaluation and monitoring
- Location:
- Lenexa, Kansas (headquarters)
- Notable strength:
- US-based consultants working alongside the client's own engineers
Softweb Solutions, an Avnet company, lists its headquarters in Plano, Texas, in the Dallas area, and a second office in Hoffman Estates, Illinois, near Chicago. It offers RAG as a service, covering data preparation, retrieval system development, model integration, prompt augmentation, evaluation and ongoing consulting.
The offering also includes custom knowledge bases, multimodal RAG across text, images and audio, and domain-specific solutions. Its site lists pgvector, Pinecone, Weaviate, FAISS and Milvus as vector stores, deployment on AWS, Azure and Google Cloud or on-premises, and industries such as manufacturing, supply chain and logistics, semiconductors, telecom and finance.
Key Facts
- Best for:
- Manufacturing, supply chain and telecom companies building RAG on operational data
- Core services:
- RAG as a service, generative AI, data and AI consulting, custom knowledge bases
- RAG focus:
- Data preparation, retrieval systems, multimodal and domain-specific RAG
- Location:
- Plano, Texas (headquarters); Hoffman Estates, Illinois
- Notable strength:
- Industrial and supply chain focus within a larger technology group
Emerline is a software development and consulting company that lists its headquarters in Miami, Florida, with further US offices in Mountain View, California, Royal Oak, Michigan, and King of Prussia, Pennsylvania, plus offices in Europe. Its custom RAG development service spans strategy and solution architecture, pipeline development, data and knowledge integration, vector database architecture, and optimization and deployment.
The site describes retrieval techniques such as semantic chunking, hybrid search that combines BM25 with vector search, cross-encoder reranking and query expansion, as well as automated evaluation of faithfulness, answer relevance and context recall. It also covers agentic and multimodal RAG, PII masking, private or on-premises deployment, and access control tied to single sign-on.
Key Facts
- Best for:
- Companies that need private or on-premises RAG with access control
- Core services:
- Custom RAG development, AI and ML engineering, data engineering, custom software
- RAG focus:
- Hybrid search, reranking, agentic and multimodal RAG, automated evaluation
- Location:
- Miami, Florida (headquarters); Mountain View, Royal Oak, King of Prussia
- Notable strength:
- Detailed retrieval and evaluation methods described in the offering
ITRex Group is a technology consulting and development company that lists offices in Sacramento, California, and Warsaw, Poland. Its RAG services include consulting on readiness, architecture and MVP scope, data preparation, custom pipeline development, retrieval system development, RAG-based knowledge management, multimodal RAG, and evaluation and quality assurance.
Retrieval work described on the site covers semantic, hybrid and graph-based approaches, with tools such as pgvector, Pinecone, Weaviate, Qdrant, Milvus, Azure AI Search and OpenSearch, orchestration with LlamaIndex, LangChain or Haystack, and evaluation with Ragas, DeepEval and TruLens. Deployments can run on AWS, Azure, Google Cloud, private cloud or on-premises, and the industries named include healthcare, life sciences, logistics and manufacturing.
Key Facts
- Best for:
- Healthcare, life sciences and logistics companies planning a RAG pilot or full build
- Core services:
- RAG consulting and development, LLM integration and fine-tuning, LLMOps, AI agents
- RAG focus:
- Data preparation, hybrid and graph-based retrieval, multimodal RAG, evaluation
- Location:
- Sacramento, California (US office)
- Notable strength:
- A separate evaluation and quality assurance service for RAG systems
N-iX is a software engineering company that lists a US office in Plantation, Florida, and a UK office in London. Its RAG development services cover consulting, architecture design, pipeline development, enterprise integration, continuous optimization, and agentic RAG.
The site outlines a staged process that runs from discovery through solution design and a proof of concept to core development, deployment with MLOps, and ongoing optimization. Methods mentioned include hybrid retrieval, graph-based RAG, multimodal retrieval and text-to-SQL, with deployment on Azure, AWS and Google Cloud and integration with Active Directory and single sign-on. Industries named include automotive, manufacturing, logistics, retail, fintech and energy.
Key Facts
- Best for:
- Large organizations integrating RAG with existing enterprise systems
- Core services:
- RAG development, generative AI, data and cloud engineering, software development
- RAG focus:
- Architecture design, hybrid and graph-based retrieval, enterprise integration, MLOps
- Location:
- Plantation, Florida (US office)
- Notable strength:
- A defined path from proof of concept to a production deployment
Akveo is a software development company that lists an address in Austin, Texas, along with offices in Warsaw, Poland, and Vilnius, Lithuania. Its RAG development offering includes strategy and consulting, architecture development, enterprise knowledge base development, RAG chatbots and conversational AI, LLM integration, and retrieval mechanism design.
The technologies named on its site include LangChain, LangGraph, Semantic Kernel and Langfuse, Azure AI Search for retrieval, and models and platforms such as OpenAI, Anthropic, Gemini, Llama and Amazon Bedrock. Infrastructure work uses AWS, Azure, Google Cloud, Docker, Kubernetes and Terraform. The industries listed are edtech, manufacturing, insurance, fintech, automotive, energy, logistics and healthcare.
Key Facts
- Best for:
- Companies that want an internal knowledge base or a RAG chatbot
- Core services:
- RAG development, AI development, LLM integration, web and software development
- RAG focus:
- Knowledge bases, conversational AI, hybrid retrieval, retrieval mechanism design
- Location:
- Austin, Texas (US office)
- Notable strength:
- Stack that includes Microsoft tooling such as Semantic Kernel and Azure AI Search
Yellow is a software development company whose site lists a San Francisco, California, address. It offers end-to-end custom RAG development: data preparation and chunking, embeddings and vector search, hybrid retrieval that combines semantic search with metadata filters and business rules, prompt engineering, and evaluation and accuracy testing.
The company also builds RAG for multi-step workflows and connects it to internal tools, databases and support systems. Its process runs from discovery and a data audit through architecture, UX planning, development, testing and deployment. The stack listed includes Pinecone, Weaviate, Qdrant, FAISS and Chroma, LangChain and LlamaIndex, Python and FastAPI on the backend, and React and Next.js on the frontend.
Key Facts
- Best for:
- Startups and product teams that need RAG together with the application around it
- Core services:
- RAG development, AI development, web and mobile development, UX design
- RAG focus:
- Chunking, vector and hybrid retrieval, prompt engineering, accuracy testing
- Location:
- San Francisco, California
- Notable strength:
- UX planning included in the RAG delivery process
GeekyAnts is a product development company with a US office in San Francisco, California, alongside offices in Bangalore, India, and London, UK. Its RAG development services start with knowledge source strategy and data alignment and continue through query flow design, retriever and generator engineering, a fact-check layer for response assurance, platform integration, and ongoing governance of content drift.
Typical deliverables named on the site include knowledge bots, search-integrated copilot tools, enterprise Q&A automation, document assistants and summarizers, as well as private RAG pipelines with hybrid search. The company works with GPT models, LlamaIndex and LangChain, and its broader stack covers web and mobile frameworks such as React, Next.js, React Native and Flutter.
Key Facts
- Best for:
- Teams that want RAG features built into web and mobile products
- Core services:
- RAG development, AI development, web and mobile app development, design
- RAG focus:
- Knowledge bots, copilots, enterprise Q&A, fact-check layer, content governance
- Location:
- San Francisco, California (US office)
- Notable strength:
- Strong front-end and mobile engineering next to its RAG work
How to choose a RAG development company in the USA
Start with what "in the USA" has to mean for your project. If documents cannot leave the country, or people must work on site, you need to know where the engineers are, not only where the office is. Several firms on this list are headquartered in the United States, while others keep a US office and deliver from teams abroad. Both models can work, but they lead to different contracts, data handling arrangements and meeting hours.
Then look at how the vendor proves that answers are correct. A RAG demo on twenty clean files says little about the full document set. Ask for the method: how documents are parsed, how retrieval is tested, and how a change is checked before release. Vendors that describe evaluation in concrete terms are easier to hold to a result.
- Where are the engineers who will work on our system located, and which hours do they share with our time zone?
- Which legal entity signs the contract, and under which state's law?
- Where will our documents, the index and the model calls be stored and processed, and can everything stay in our own US cloud account?
- How do you build the test set, and how are retrieval and answer quality scored before and after each change?
- How are source-system permissions applied so that users only get answers from documents they may open?
- Who owns the code, the index and the evaluation data at the end, and what does the handover include?
Conclusion
RAG development companies in the USA range from onshore consultancies with US-based staff to international engineering firms with an American office, and the difference matters more for some projects than for others. Internal knowledge search over sensitive documents may justify a fully onshore team. A product feature built on public or low-risk content can often be delivered by a distributed or offshore team at the same quality, as long as the hours overlap and ownership is clear.
Whichever model you choose, compare vendors on the parts that decide whether the system works: document parsing, retrieval quality, citations, access control and a test set you can re-run. A short paid discovery or proof of concept on a sample of your own data is the most reliable way to see how a team handles those parts before committing to the full build.
