Build AI That Knows Your Business Inside Out
Generic AI gives generic answers. We build custom RAG pipelines that make AI fluent in your company's knowledge — your docs, your processes, your products. Accurate. Sourced. Yours.
Pinecone · Weaviate · Qdrant · LangChain · LlamaIndex · Starting at $1,500
How We Build Your RAG Pipeline
Document Ingestion
We ingest your PDFs, Google Docs, Notion pages, Confluence articles, Slack threads, and CSVs — any format, any source.
Chunking & Embedding
Documents are split into semantic chunks, converted to vector embeddings using OpenAI or Cohere, and stored in a vector database.
Retrieval & Reranking
When a query arrives, the system retrieves the most relevant chunks using hybrid search, then reranks with Cohere Rerank for maximum accuracy.
Generation with Citations
The LLM uses retrieved chunks as context to generate a precise, cited answer. Every response links back to the source document.
RAG Use Cases We Build
- Internal AI assistant trained on company knowledge
- Customer-facing AI chatbot with accurate product answers
- AI support agent that knows your policies and FAQs
- AI sales rep trained on your pricing and case studies
- Due diligence AI that reads and summarises contracts
- Compliance monitoring AI trained on regulatory documents
Our RAG Tech Stack
Build Your Custom RAG Pipeline
Tell us your document sources and use case. We'll design the RAG architecture and show you a working prototype — free.
Free consultation • No obligation • Reply within 24 hours
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Reach us
Location
Remote team serving US, UK, Europe & Australia
Reply Time
Within 24 hours
Global Coverage
Remote-first agency serving US (EST/PST), UK (GMT), and AUS (AEDT) timezones. We adapt to your schedule.