95% Cost Reduction vs Full-Context LLM
RAG Implementation That Works
Stop AI hallucinations. Ground your LLM in YOUR data. Embeddings + Vector DBs + LLMs. 95-99% factual accuracy. 90% cost savings.
99% accuracy - Sub-second search - Billions of docs
OpenAI EmbeddingsBGEChromaDBQdrantPineconeGPT-4Claude
01 — Problems
Knowledge Problems We Solve
Start with YOUR knowledge challenges
🤥
AI Hallucinations?
LLMs make up facts
→RAG grounds AI in YOUR documents
🔍
Can't Search Knowledge Bases?
Hours searching docs
→Semantic search in milliseconds
🤖
Outdated Chatbots?
Generic answers
→RAG chatbots know YOUR business
💸
Expensive AI Costs?
$50-$500 per query
→90% cost reduction
02 — Technology
RAG Technology Stack
Optimal embeddings, vector DB, and LLM
Embedding Models
OpenAI text-embedding-3-large
Use: Premium quality
Deploy: Cloud API
Cohere Embed v3
Use: Multilingual
Deploy: Cloud API
BGE-large-en-v1.5
Use: Open-source, SOTA
Deploy: Self-hosted
E5-large-v2
Use: Excellent retrieval
Deploy: Self-hosted
all-MiniLM-L6-v2
Use: Fast, lightweight
Deploy: CPU-friendly
Vector Databases
ChromaDB
Use: Simple, POC/MVP
Deploy: Self-hosted
Qdrant
Use: Production, hybrid search
Deploy: Self-hosted or cloud
Milvus
Use: Enterprise-scale
Deploy: Kubernetes
Pinecone
Use: Managed cloud
Deploy: Cloud
Weaviate
Use: GraphQL, hybrid
Deploy: Self-hosted or cloud
pgvector
Use: Use existing Postgres
Deploy: Self-hosted
LLMs for Generation
GPT-4
Use: Best quality
Deploy: Cloud API
Claude 3.5
Use: Long context
Deploy: Cloud API
Llama 4
Use: Self-hosted
Deploy: Self-hosted
Gemini Pro
Use: Multimodal
Deploy: Cloud API
03 — Solutions
Real-World Solutions
04 — Why Us
Why Choose BiltIQ AI?
🎯
Problem-First Design
🤖
Model-Agnostic RAG
💰
Cost Optimization
🔐
Privacy & Compliance
📚
Multi-Source Ingestion
⚡
Hybrid Search
05 — Framework
RAG Stack Selection
Criteria
Basic
Standard
Enterprise
Data Volume
Embedding Quality
Privacy
LLM
Search Type
06 — Industries
Industry-Specific RAG
Customer Support
Legal
Healthcare
Finance
E-commerce
Enterprise
07 — Pricing
Transparent Pricing
08 — Deliverables
Complete RAG Package
09 — FAQ
Frequently Asked Questions
Free RAG Architecture Consultation
Not Sure Which RAG Stack is Right?
We'll analyze your knowledge base and recommend the optimal stack.
→Free consultation
→Model-agnostic
→Accuracy & cost analysis