RAG Development Services
A knowledge assistant that actually knows your business.
Secure, citation-backed enterprise assistants built on your own documents, wikis and repositories, grounded, permission-aware and hallucination-resistant.
About this service
Generic chatbots guess. A well-built RAG system answers from your documents, and shows its sources.
Security is built in: retrieval honours your existing access controls, your data is never used to train third-party models, and deployment can be in your cloud or fully on-prem.
What we deliver
Document ingestion
Pipelines that parse, chunk and embed PDFs, Office files, wikis and databases, and stay in sync as content changes.
Hybrid retrieval
Semantic plus keyword search with re-ranking.
Cited answers
Each response links to its source documents.
Permission-aware retrieval
Results are trimmed to each user's access rights, inherited from source systems.
Private deployment
Runs in a VPC or on-prem, with no training on client data and full data-residency control.
Continuous evaluation
Answer quality and retrieval accuracy are measured and tuned as the knowledge base grows.
Technology we use
The stack behind this service
- LlamaIndex
- LangChain
- Pinecone
- Weaviate
- pgvector
- Qdrant
- Cohere Rerank
- OpenAI / Claude
- Elasticsearch
- AWS Bedrock
- Azure AI Search
- Onyx
Our approach & delivery process
Source mapping
Identify knowledge sources, formats, access rules and freshness needs.
Retrieval build
Build the ingestion, chunking, embedding and re-ranking pipeline.
Grounding & eval
Add citations, guardrails and an evaluation set for faithfulness and relevance.
Deploy & maintain
Ship the assistant into your tools and keep the index current.
What clients say about working with us
One more client quote appears above, in Trust & credibility. Here's the rest.
General client testimonials, shown as the client wrote them, not written specifically about this service.
“They rebuilt our checkout in three weeks and conversion jumped almost immediately. Communication was tighter than any agency we'd used before.”
Edgar da SilvaFounder, Noctilucent Project “We hired them through Upwork expecting a freelancer and got an entire senior team. On-time delivery, no scope creep, no drama.”
Shachar AmarCEO, Apolloecom · Hired via Upwork
Trust & credibility
- Years of experience
- 8+
- Projects delivered
- 295+
- Average client rating
- 4.9/5*
- Countries served
- 12+*
Security, certifications & partnerships
- ISO 27001-audited information security practices.
- Role-based access and permission-aware handling of client data.
- No client data is used to train third-party models.
- Developing Apps for ShopifyShopify · Credly verified
- Liquid Storefronts for Theme DevelopersShopify · Credly verified
- Google CloudPartner Network
- ClutchTop B2B Firm 2026
- GoodFirmsTop Developer
- ISO 27001Certified
Team & support
7+ yrs*Average hands-on engineering experience per developer
- Ongoing support, bug fixes, performance monitoring, and feature updates after launch.
- Typical first response within 24 hours on active engagements.*
* Illustrative placeholder, shown here as a sample until confirmed with real company data.
Proof in practice
On work like this, security isn't a bullet point, here's what one client said after we closed gaps a previous vendor missed:
MagikCoder found and fixed security gaps our previous vendor missed entirely. The weekly reports made the whole engagement easy to manage from our side.
Frequently asked questions
Put your own documents behind a trustworthy assistant.
Tell us where your knowledge lives today, and we'll scope a grounded, cited RAG system around it.