Audit your knowledge
We list where your information lives, such as PDFs, wikis, tickets, and databases, and judge how ready each source is.
RAG Development Services
Do your AI answers sound confident but miss your actual policies, products, or documents? Optimity Logics builds Retrieval-Augmented Generation systems that let language models find the right information in your own data before they answer. From document ingestion and search to source-cited responses and access control, we deliver accurate, secure RAG solutions that turn scattered knowledge into dependable answers.
Talk To Our RAG Experts
Trusted By 250+ Happy Clients, Including Fortune 400 Companies
40+
AI and ML specialists
100+
Engineering specialists
50+
RAG systems delivered
80+
Clients served
5+
Years in business
RAG Development Services for Accurate, Source-Backed Answers
Optimity Logics develops RAG systems around your documents, your users, and your tools. Our services cover knowledge ingestion and indexing, retrieval and answer generation, and RAG-powered applications such as assistants and search, each designed to be accurate, explainable, and secure.
Knowledge Ingestion & IndexingView MoreView MoreView MoreView More
Document Ingestion Pipelines
Automated pipelines that pull content from files, sites, and apps, keep it up to date, and prepare it for search.
Smart Chunking and Embedding
Split content in ways that preserve meaning, then embed it with models chosen for your language and subject matter.
Vector Database Setup
Design and deploy vector stores such as Pgvector, Pinecone, and Qdrant, sized and tuned for your data volume.
PDF, Table and Image Parsing
Extract text, tables, and figures from complex documents so nothing important is lost before indexing.
Retrieval & Answer GenerationView MoreView MoreView MoreView MoreView More
Hybrid Search and Reranking
Combine keyword and meaning-based search, then rerank results so the most relevant passages reach the model first.
Advanced RAG Techniques
Query rewriting, multi-step retrieval, and context compression that improve answers on complex or vague questions.
GraphRAG Development
Link entities and relationships in your data so the system can answer questions that span many documents.
Citations and Source Tracing
Every answer points back to the exact document and passage, so users can verify the information quickly.
Multilingual Retrieval
Search and answer across English, Hindi, Gujarati, and other languages from one shared knowledge base.
RAG-Powered ApplicationsView MoreView MoreView MoreView More
Enterprise Knowledge Assistant
An assistant that answers staff questions from policies, manuals, and past projects, with permissions respected.
Customer Support RAG Chatbot
A chatbot that answers customer queries from your help centre, product data, and policies instead of guessing.
Semantic Search for Websites and Apps
Replace basic keyword search with search that understands intent and returns direct answers with links.
RAG Evaluation and Monitoring
Test sets, quality scores, and dashboards that show how well retrieval and answers perform over time.
Ready to Make Your Company Knowledge Searchable and Useful?
From auditing your documents to a monitored production launch, we help you build RAG systems that give accurate, traceable answers.
Discuss Your RAG Project
Basic RAG, Advanced RAG, or GraphRAG?
The right RAG design depends on how complex your documents are and what kinds of questions people ask. Many teams start with basic RAG and add advanced techniques only where quality needs it.
Matrix
Pre-built API
Fine-tuned model
Custom model
Build time
2 to 4 weeks
4 to 8 weeks
3 to 6+ months
Best question types
Direct lookups from clean documents
Vague, multi-part, or varied questions
Questions linking many documents and entities
Data effort
Light cleanup and indexing
Careful parsing, metadata, and testing
Entity and relationship modelling
Right when
Content is tidy and questions are simple
Basic answers are often incomplete or off-target
Insight depends on connections across sources
Structured Process We Follow to Build RAG Systems
From auditing your knowledge to monitoring live answers, we follow a clear process that keeps retrieval accurate, secure, and easy to improve.
01
Knowledge and use case discovery
We identify your sources, users, and typical questions, then define what a good answer looks like and how it will be measured.
02
Data ingestion and cleaning
We connect your sources, parse complex files, remove noise and duplicates, and attach useful metadata such as date, owner, and access level.
03
Chunking, embedding, and indexing
We test chunk sizes and embedding models on your content and build the vector and keyword indexes that perform best.
04
Retrieval and prompt design
We tune search, reranking, and instructions so the model uses retrieved passages faithfully and cites its sources.
05
Evaluation and security review
We run real questions through the system, score accuracy and source quality, and verify that access rules hold up.
06
Deployment and ongoing tuning
We launch with monitoring, keep the index fresh as documents change, and refine retrieval based on real usage.
How We Secure and Govern RAG Systems
Access control in retrieval
Permissions travel with each document, so the search layer filters results by user role before the model ever sees the content, preventing accidental leaks.
Standards we build to
GDPR, HIPAA, SOC 2 principles, ISO 27001 practices, the EU AI Act, and the OWASP Top 10 for LLM Applications, applied to match your industry and region.
Keeping answers faithful to sources
The model is instructed to answer only from retrieved passages, claims are checked against the source text, and the system says it does not know when evidence is missing.
Protection against poisoned content
Prompt injection detection on retrieved text, source allow-lists, personal data masking, and audit logs of every query guard against manipulation and misuse.
AI Technologies and Tools We Use
We use proven retrieval frameworks, vector databases, and language models to build RAG systems that are accurate, scalable, and ready for production.
Frontier models
ClaudeGPTGeminiGrok
Open-weight models
LlamaMistralDeepSeekQwen
Retrieval frameworks
LangChainLlamaIndexGraphRAGHaystack
Vector stores
PineconeWeaviateQdrantMilvusPgvectorChroma
Search and ranking
Hybrid searchRerankingElasticsearchOpenSearch
Embedding models
OpenAI EmbeddingsCohere EmbedBGEE5
Document processing
UnstructuredLlamaParseDoclingOCR
Graph databases
Neo4jAmazon NeptuneArangoDB
Workflow automation
n8nZapierMakeWebhooks
Application stack
Next.jsReact.jsNode.jsExpress.jsSupabase
Data sources
Google DriveSharePointNotionConfluenceS3
Evaluation
RagasDeepEvalPromptfooBraintrustLangSmith
Observability
LangfuseArize PhoenixOpenTelemetryDatadog
Guardrails
NeMo GuardrailsGuardrails AILlama Guard
Cloud and MLOps
AWS SageMaker & BedrockVertex AIAzure AI FoundryDockerKubernetes
Business Knowledge, Made Accessible with RAG
We build Retrieval-Augmented Generation systems that retrieve relevant information from approved documents and business data before generating responses, helping users find contextual answers with traceable sources.
RAG for Enterprise Knowledge Management
Organizations can connect internal policies, process documentation, project files, and knowledge bases to an assistant that retrieves relevant passages and answers employee questions according to access permissions.
- Enterprise Knowledge Assistants
- Internal Document Search
- Source-Grounded Question Answering
- Permission-Aware Retrieval
- Knowledge Base Integration
RAG for Legal & Compliance Teams
Legal and compliance teams can search contracts, policies, and regulatory documents to locate relevant clauses, compare source material, and prepare evidence-based responses for professional review.
- Contract Knowledge Search
- Compliance Policy Question Answering
- Clause Retrieval
- Source-Referenced Responses
- Access-Controlled Document Retrieval
RAG for IT Operations & SaaS
Technology teams can connect technical documentation, incident records, troubleshooting guides, and operational runbooks to an assistant that retrieves relevant information during support and investigation workflows.
- Technical Documentation Search
- IT Runbook Retrieval
- Incident Knowledge Assistants
- Support Knowledge Search
- Source-Linked Technical Answers
RAG for Healthcare Organizations
Healthcare organizations can make approved administrative policies, operating procedures, and internal reference materials easier to search while respecting document permissions and information governance requirements.
- Healthcare Policy Search
- Procedure Knowledge Assistants
- Administrative Document Retrieval
- Source-Grounded Responses
- Permission-Aware Knowledge Access
Why Teams Choose Optimity Logics for RAG Development
We treat retrieval as an engineering problem, not a plug-in. That means careful data preparation, measured retrieval quality, and strict access control, delivered by a full-stack team that also builds the applications your RAG system powers.
WHAT CLIENTS SAY
Behind every testimonial is a business problem solved, a system improved, or a product successfully launched. Here is how our clients describe their experience working with Optimity Logics.
Let’s Build Something Great Together
Contact UsWe are grateful that Optimity Logics joined our project as a Next.js / React / Tailwind developer. Optimity Logics is a top-tier team that delivers features and fixes at a very fast pace with high quality. The quality and reliability of their work significantly reduce testing and project management effort. They communicate effectively: they are responsive, proactive, and kept us informed throughout the entire project. We believe Optimity Logics is a highly valuable asset to any project and our top choice when seeking to expand our front-end engineering team.
- CTO (Greece)
Optimity Logics was an absolute pleasure to work with! They did a wonderful job building our website on Contentful and went above and beyond by providing best practices and guidance for our team to use moving forward. They operated as dedicated and thoughtful members of our organization throughout the project. The end result delighted everyone on our team, including exec leadership. I would recommend them to anyone looking for web or IT work. I hope to work with them again in the future!
- PR Manager (USA)
I am thrilled to share my experience working with Optimity Logics. They did an outstanding job migrating our production server flawlessly, ensuring our product's stability. Additionally, they identified and resolved an existing issue with the AutoDesk Viewer, including 360 View, Floor Plan, 3D Model, and Gallery View integration. I am extremely impressed with their responsiveness, expertise, and dedication to this task. Optimity Logics' work exceeded my expectations, and I will definitely keep them in mind for future projects. Highly recommended!
- CEO (UK)
I recently had the pleasure of collaborating with Optimity Logics on a development project, and their performance exceeded all expectations. The team demonstrated exceptional expertise, professionalism, and dedication throughout the project, showcasing a profound understanding of the task at hand. Their technical proficiency was evident in every aspect, from meticulous planning to flawless execution, combined with a proactive approach to problem-solving and a commitment to delivering high-quality results. Communication was seamless, with regular updates and prompt resolutions to any concerns, ensuring smooth progress from start to finish. Optimity Logics went above and beyond to meet our needs, and their contributions were invaluable to the project's success. I am immensely grateful for their work and would not hesitate to recommend them to anyone seeking skilled and reliable development partners.
- CEO (Nigeria)
The Optimity Logics team showcased outstanding expertise in Fullstack development. Their collaborative efforts resulted in timely delivery and exceptional communication throughout the project. I would confidently engage their team again and wholeheartedly recommend them to others.
- Founder and Senior Manager (USA)
Optimity Logics did an amazing job bringing complex user stories and requirements to life through their invaluable knowledge and expertise. We appreciate all the feedback, guidance, and encouragement they provided to our junior developers. They are easy to communicate with and ask the right questions. They were consistent with daily scrum meetings and displayed great leadership skills.
- Sr. Ventures Manager (USA)
The Optimity Logics team excelled in delivering the project within a tight timeframe, maintaining exemplary coding standards, and achieving remarkable results. Their proficiency in React, Node.js, MongoDB, Express, and AWS was evident. I highly recommend their top-notch development services and look forward to future collaborations.
- Product Owner (UK)
Optimity Logics excelled with our website project, delivering exceptional results promptly. Their efficiency and dedication to excellence impressed us. Dealing with Optimity Logics is always a pleasure; their team exemplifies professionalism and expertise. We eagerly anticipate future collaborations with such a standout company.
- Founder and CEO (USA)
Optimity Logics executed a flawless server migration, showcasing AWS expertise. Their swift work, coupled with invaluable support, was remarkable. We extend heartfelt gratitude for their outstanding service.
- General Manager (USA)
