Searchplex RAG
Proof-of-Concept
Your Enterprise AI Search Vision, Realized in 3+1 Weeks
De-risk AI adoption with a fixed-scope RAG system built on your actual enterprise data. No scope creep, no surprise costs, just results.
Fixed Scope
Fixed Price
Fixed Timeline: 3+1 Weeks
Your De-Risked Path to AI Search Excellence
Move from concept to tangible results with our structured 3+1 week engagement. Test RAG feasibility on your specific data without open-ended commitments.
Base Module: Core RAG Implementation
What you get in 3 weeks:
Data ingestion and cleaning pipeline
For your document collection with automated preprocessing and quality validation.
Schema design optimized for your content
Content structure and query patterns analysis to maximize retrieval accuracy.
Hybrid search implementation
Vector + keyword search with relevance tuning for optimal results.
LLM integration with prompt engineering
Connected to your preferred LLM with optimized prompts for answer generation.
This covers the fundamentals: Getting your data indexed properly, building search that returns relevant results for your typical queries, and connecting it to an LLM for answer generation.
Specialized Extensions
Choose one additional capability to add in week 4:
Multilingual Processing
Cross-language retrieval, language-aware chunking, translation fallback mechanisms. Essential for global organizations.
Complex Document Handling
Table-aware processing with ColPali, structured data extraction, relationship-preserving chunking for reports and technical documents.
Multimodal Integration
Add one additional modality to text processing. Choose from image, audio, or video capabilities with unified search across both content types. Need all three modalities? That goes to custom RAG engagement.
Custom RAG Solutions
Nothing fits your needs? Have custom requirements like domain adaptation, specialized vocabularies, or industry-specific ranking models?
Let's talk - we do that as well!
Custom embeddings, specialized vocabularies, industry-specific ranking models, live data source integration, and bespoke RAG architectures tailored to your unique challenges.
Timelines will vary depending on the level of customization required.
What You Receive
Working Prototype Codebase
Complete implementation demonstrating core RAG functionality on your data.
Technical Documentation
Setup instructions, architecture overview, and deployment guidelines.
Evaluation Results
Performance metrics and relevance analysis on your test queries and use cases.
Production Recommendations
Strategic guidance for scaling, monitoring, and enterprise deployment.
Optional Demo Environment:
1-week hosted evaluation environment
Stakeholder access for internal validation
Usage analytics and performance monitoring
The Searchplex Difference
We're not just another AI consulting firm. As an Official Vespa.ai Project & Implementation Partner, we bring deep specialization in enterprise search and RAG solutions, with proven expertise in handling complex data landscapes and production-ready architectures.
Strategic Problem Solving for Enterprise RAG:
- Hallucination Mitigation: Advanced chunking strategies, context preservation, and robust evaluation frameworks that address common RAG pitfalls
- Production-Ready Architecture: High-performance search systems with Vespa.ai, designed for scalability and enterprise integration from day one
- Complex Data Optimization: Intelligent data preparation for fragmented information silos, multi-format documents, and diverse enterprise data types
- Outcome-Driven Implementation: RAG solutions aligned with critical business objectives, delivering measurable impact and ROI validation
Requirements & Scope
Your Data
- Static document collection (PDFs, structured data, web content)
- Secure data transfer via S3, GCS, or enterprise file sharing
- Subject matter expert availability (2-3 hours weekly)
Technical Requirements
- LLM API access (OpenAI, Anthropic, or hosted alternatives)
- Cloud environment for demo deployment
- Compliance with data handling requirements
Out of Scope
RAG Proof-of-Concept FAQs
How long does a RAG Proof-of-Concept typically take?
Base implementation takes 3 weeks, with optional specialized extensions adding 1 week each.
What data formats do you support?
We support PDFs, structured data, web content, and most common document formats. Data can be transferred via S3, GCS, or enterprise file sharing.
Can we evaluate the system before committing to production?
Yes, we provide a working prototype with evaluation results on your test queries, plus an optional 1-week hosted evaluation environment.
What's included in the base module vs. extensions?
The base module covers core RAG functionality: data ingestion, hybrid search, LLM integration, and basic evaluation. Extensions add specialized capabilities like multilingual processing or complex document handling.
Do you handle our proprietary or sensitive data securely?
Yes, we follow enterprise data handling requirements and can work within your compliance frameworks. Secure data transfer and processing are standard.
What happens after the proof-of-concept?
You receive a functional RAG prototype, comprehensive performance metrics, and a detailed roadmap for scaling to production. Many clients leverage our expertise for subsequent production build-out, based on the insights gained from the PoC.
Why choose Searchplex for RAG PoCs?
Beyond our unique fixed-price, fixed-timeline model, our deep specialization in enterprise search and RAG—exemplified by our Official Vespa.ai Partnership—ensures your PoC is built on proven expertise. We don't just demonstrate RAG; we build it right, with focus on real-world performance, scalability, and integration.
Why do you use static data exports instead of integrating directly with our live data sources?
Direct integration with live data sources (databases, APIs, content management systems) introduces additional dependencies, authentication complexities, and system coupling that would derail our focused 3-week timeline. The PoC uses static data exports to demonstrate core RAG capabilities without these integration overheads. Live data source integration is available as either a custom RAG solution or as part of production implementation, depending on your specific needs and timeline requirements.
Ready to De-Risk Your AI Search Investment?
Transform your enterprise data into a strategic asset with our fixed-scope RAG Proof-of-Concept. Get concrete results in 3+1 weeks.