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RAG Solutions

RAG Implementation

Transform your knowledge base into AI-powered intelligence. Retrieval Augmented Generation (RAG) for accurate, contextual AI responses from your data.

10x
Faster Search
95%
Accuracy
45 Days
Implementation
Unlimited
Documents

RAG Capabilities

Transform your knowledge base into intelligent AI responses

🗄️

Vector Database Setup

Professional setup of Pinecone, Weaviate, or ChromaDB for optimal embedding storage and retrieval.

📚

Document Processing

Automated ingestion pipelines for PDFs, Word docs, databases, and any data source.

🔍

Semantic Search

Context-aware search that understands meaning, not just keywords.

🤖

LLM Integration

Connect to any LLM (GPT, Claude, Llama, Mistral) for intelligent responses.

Real-Time Updates

Automatic reindexing and incremental updates for fresh, accurate responses.

🔀

Hybrid Search

Combine semantic and keyword search for maximum accuracy and relevance.

Industry Applications

Customer Support: AI chatbots with access to product documentation and support tickets

Legal & Compliance: Instant retrieval from massive contract and regulation databases

Healthcare: Medical knowledge bases for diagnosis assistance and research

Financial Services: Real-time access to financial reports, market data, and regulations

E-commerce: Product recommendation and intelligent search across catalogs

Education: Interactive learning from textbooks, research papers, and course materials

HR & Recruiting: Resume screening and candidate matching from large databases

Research & Development: Literature review and knowledge discovery from papers

Technology Stack

Vector Databases

PineconeWeaviateChromaDBQdrantMilvusFAISS

Embedding Models

OpenAI Ada-002Cohere EmbedSentence TransformersCustom Fine-tuned Models

LLM Integration

GPT-4ClaudeLlama 2/3MistralOn-premise Models

Document Processing

LangChainLlamaIndexUnstructured.ioCustom Parsers

What You Get

Complete vector database setup and configuration
Document ingestion pipelines with chunking strategies
Embedding generation and storage architecture
Semantic search API with filtering and ranking
LLM integration for question answering
Web interface for testing and demos
Monitoring dashboard for search quality
Documentation and handoff training
Source code with deployment scripts
60 days post-deployment support

Investment

$15,000

Complete RAG implementation with 45-day delivery and 60 days support

Get Started Today

Ready to Unlock Your Data's Potential?

Let's discuss how RAG can transform your business intelligence and customer experience.

Schedule a Consultation