Document Ingestion
01Automated processing of PDFs, Word docs, web pages, Confluence, Notion, and databases into searchable knowledge bases.
RAG Pipelines
Ground AI in your proprietary knowledge
RAG systems that connect LLMs to your documents, databases, and knowledge bases — delivering accurate, sourced answers instead of hallucinations.
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Response timeRAG pipelines that make AI accurate and trustworthy
LLMs are powerful but unreliable without grounding — they hallucinate, use outdated information, and cannot access your proprietary data. RAG solves this by connecting AI to your knowledge base.
Our RAG pipelines ingest your documents, chunk and embed them into vector databases, and retrieve the most relevant context for every AI query — ensuring answers are accurate, sourced, and up-to-date.
We build enterprise-grade RAG systems with semantic search, access controls, and indexing strategies that grow with your knowledge base.
What we offer
Key capabilities
Comprehensive solutions tailored to your business objectives.
Vector Search
02Semantic similarity search using Pinecone, Weaviate, or pgvector — finding relevant content even when queries use different terminology.
Hybrid Retrieval
03Combining vector search with keyword search and metadata filtering for optimal retrieval accuracy.
Context Window Optimization
04Smart chunking strategies and re-ranking that maximize answer quality within LLM context limits.
Source Attribution
05Every AI answer includes citations to source documents — building user trust and enabling verification.
Access Control Integration
06Document-level permissions ensuring users only see answers from content they are authorized to access.
Free consultation
A no-commitment 30-minute call. We analyze your project and propose solutions — before you spend a penny.
Transparent process
Fixed pricing agreed upfront, weekly progress reports, and full code ownership from day one.
Support guarantee
60 days of free post-launch support. Bug fixes, optimizations, and technical assistance included.
Our process
How we work
A proven workflow that delivers predictable outcomes on every project.
01
Knowledge Audit
Catalog your data sources, document types, and access patterns. Define retrieval quality benchmarks.
02
Pipeline Architecture
Design ingestion, embedding, storage, and retrieval components optimized for your data and query patterns.
03
Build & Tune
Implement the RAG pipeline, optimize chunking strategies, and fine-tune retrieval accuracy.
04
Deploy & Monitor
Production deployment with ingestion automation, quality monitoring, and continuous retrieval improvement.
Project delivered
Don't wait for the perfect moment
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Tech stack
Tools we use
LangChain
LlamaIndex
Pinecone
Weaviate
pgvector
OpenAI
Unstructured
FastAPIFAQ
Frequently asked questions
Answers to the most common questions about this service.
01How many documents can a RAG system handle?
Scale follows your volume and budget: vector indexes and partitioning let you grow without redesigning from scratch each time.
02How accurate are RAG responses?
It depends on source quality and retrieval. We measure correctness on a domain test set from your content; grounded RAG usually improves reliability versus a standalone LLM.
03Can RAG work with structured data too?
Yes. We build text-to-SQL layers and structured data retrieval alongside document-based RAG.
04How quickly are new documents available?
Real-time ingestion for critical documents. Batch processing for bulk updates, typically under 1 hour.
05What happens when documents are updated?
Automatic re-ingestion with version tracking ensures responses always reflect the latest content.
Enterprise RAG systems built for accuracy and scale
RAG is the bridge between powerful LLMs and your proprietary knowledge — making AI answers accurate, sourced, and trustworthy.
Our RAG implementations serve enterprises across legal, healthcare, finance, and technology — where accuracy is not optional.
We obsess over retrieval quality because even the best LLM produces poor answers from irrelevant context.
Start now
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Start with a free 30-minute consultation. No contracts, no commitments — just a focused conversation about your project.
Free consultationNo commitmentResponse within 24h