AI Search & RAG Solutions in Kenya
Let AI Answer From Your Own Knowledge. Build enterprise Retrieval-Augmented Generation (RAG) systems that ground language models on your private documents with verifiable citations and zero hallucinations.
Eliminate Hallucinations by Anchoring AI on Your Verified Data
Standard AI models only know what they were trained on during their initial training cutoff. If you ask them about your company's proprietary pricing tiers, internal HR policies, or technical service manuals, they either guess or hallucinate plausible-sounding falsehoods.
Beatsy Solutions engineers enterprise Retrieval-Augmented Generation (RAG) architectures. When a user asks a question, our system first retrieves the most relevant semantic passages from your private vector database, feeds those exact excerpts into the model prompt, and forces the model to synthesize an answer exclusively from that evidence.
Verifiable Page & Paragraph Citations
Every response generated by our RAG pipelines includes clickable reference citations. Users can click any citation card to view the exact source PDF, page number, and paragraph, eliminating guesswork and establishing audit trust.
RAG Engineering Pillars
Semantic Chunking & Metadata
We parse complex tables, headings, and lists into coherent semantic chunks tagged with author, date, and security permissions.
Hybrid Vector & BM25 Retrieval
Combines dense vector similarity with sparse BM25 keyword matching so acronyms, product SKUs, and concepts are all found accurately.
Cross-Encoder Re-Ranking
Passes candidate chunks through a cross-encoder re-ranker to ensure only the top 3-5 most pertinent context passages reach the LLM.
Security & Tenant Partitioning
Vector embeddings are partitioned by tenant and user role, guaranteeing employees never retrieve confidential executive records.
How Retrieval-Augmented Generation Works
The end-to-end journey from raw documents to verified answer generation.
Ingestion & Vectorize
PDFs, spreadsheets, and databases are parsed and embedded into high-dimensional vectors stored in pgvector or Qdrant.
Query Embedding
When a user asks a question, it is converted into a vector vector in real-time to search semantic similarity.
Context Injection
The top matching document passages are injected directly into the LLM system prompt as the sole reference material.
Cited Generation
The model generates a factual answer referencing the exact source documents. If no evidence exists, it states so clearly.
Enterprise RAG Scenarios in Kenya
Grounding AI across knowledge-heavy commercial workflows.
Policy & HR Manuals
Enable 500+ employees to search company leave policies, medical schemes, and grievance procedures with instant paragraph citations.
Legal Precedent Search
Search thousands of Kenyan case law judgments, statutes, and legal gazettes for relevant precedents in seconds.
Engineering & Telecom
Help field engineers query equipment installation manuals and technical schematics directly on their phones on site.
Medical Guidelines
Assist healthcare practitioners in retrieving verified clinical protocols and drug dosage guidelines without speculative output.
AI Search & RAG Packages
Includes document parsing pipeline, vector database setup, hybrid search tuning, citation interface, and initial maintenance.
Standard Price
Starting From Only- Internal business AI assistant
- Search company documents
- Answer staff queries
- Generate reports & summaries
Search & RAG Add-Ons
Add automated cloud storage connectors, cross-encoder re-ranking, or private dedicated on-premise vector hosting.
WhatsApp Business Cloud AI Integration
Direct connection with official Meta WhatsApp Cloud API with webhook routing and conversational state management.
Custom PDF & Company Docs RAG Ingestion
Parsing, semantic chunking, and vector indexing for up to 500 pages of proprietary PDF manuals and company documents.
Live Agent Human Handover Module
Seamless escalation protocol that packages conversation summaries and transfers live sessions to WhatsApp or email reps.
Automated Lead Qualification & CRM Push
Automatic capture of contact details and instant push to CRM, Google Sheets, or email/SMS alerts.
Custom AI Workflow Pipeline Connector
Cross-system automated trigger connecting email, Google Drive, or ERP webhooks to AI processing tasks.
Role-Based Knowledge Access Control
Departmental metadata filtering ensuring staff only retrieve information corresponding to their authorized role.
Post-Launch AI Fine-Tuning & SLA Monitoring
3 months of prompt optimization, vector index re-indexing, hallucination auditing, and model version maintenance.
Frequently Asked Questions: AI Search & RAG Solutions
Add automated cloud storage connectors, cross-encoder re-ranking, or private dedicated on-premise vector hosting.
Ground Your AI on Real Company Facts
Let us build a private, verifiable search and RAG engine that turns your organization's document repositories into an intelligent, cited knowledge assistant.