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You will get One Month Access to a Production-Grade Low-Latency RAG System in Rust
Top Rated

Project details
Ship a production RAG system in days, not months. I provide managed API access to RustyRAG — a low-latency Retrieval-Augmented Generation engine built in Rust and benchmarked at sub-200ms time-to-first-token with a 94.5% pass rate on 3,045 questions from Open RAG Bench.
What you get:
• 3 simple endpoints: /upload, /search, /answer
• 18+ file formats: PDF, DOCX, PPTX, XLSX, images (OCR + AI vision), Markdown, LaTeX, HTML, and more
• Hybrid search: dense HNSW + BM25 with Reciprocal Rank Fusion and optional cross-encoder reranking
• SSE streaming with source citations for real-time chat UIs
• Powered by Groq and Cerebras for the fastest LLM inference available
• 99.9% uptime SLA and priority support
Ideal for voice AI, autonomous agents, legal/compliance search, financial research, healthcare knowledge bases, and gaming NPCs — any use case where retrieval latency directly impacts user experience.
You get an API key, full Swagger docs, and hands-on integration help with your Python, TypeScript, or cURL stack. No orchestration complexity. No glue code. Just fast, accurate RAG that works in production from day one.
What you get:
• 3 simple endpoints: /upload, /search, /answer
• 18+ file formats: PDF, DOCX, PPTX, XLSX, images (OCR + AI vision), Markdown, LaTeX, HTML, and more
• Hybrid search: dense HNSW + BM25 with Reciprocal Rank Fusion and optional cross-encoder reranking
• SSE streaming with source citations for real-time chat UIs
• Powered by Groq and Cerebras for the fastest LLM inference available
• 99.9% uptime SLA and priority support
Ideal for voice AI, autonomous agents, legal/compliance search, financial research, healthcare knowledge bases, and gaming NPCs — any use case where retrieval latency directly impacts user experience.
You get an API key, full Swagger docs, and hands-on integration help with your Python, TypeScript, or cURL stack. No orchestration complexity. No glue code. Just fast, accurate RAG that works in production from day one.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software MaintenanceWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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PN
Philip N.
May 8, 2026
30 minute consultation
HF
Hila F.
May 1, 2026
AI Automation Engineer Needed for Claude Code Integration
Thank you, Ignas!
GH
Gabriella H.
Nov 17, 2025
API Service with FastAPI
NC
Naris C.
Sep 19, 2025
Senior Developer – Core Platform Rebuild with AI
Ignas is an exception AI developer. He has deep knowledge with all AI tools, and is able to understand requirements very quickly and get to a working prototype.
He is familiar with all the current AI technology and follows all of the standard practices when coding and developing software. He is essentially doing the work of 3 people for the price of 1.
He is familiar with all the current AI technology and follows all of the standard practices when coding and developing software. He is essentially doing the work of 3 people for the price of 1.
NC
Naris C.
Jul 1, 2025
Senior Developer – Core Platform Rebuild with AI
Ignas is a talented AI Developer, we converted our fixed price contract and we are now working with him on hourly basis now. He's got great backend skills and knows alot about AI and how to set it up from the ground level.
About Ignas
AI Agent Development Expert | RAG, Python, LangChain, LLM AI Engineer
100%
Job Success
Rio de Janeiro, Brazil - 7:13 am local time
I help companies design, build, and deploy AI Agent Development, RAG pipelines, LLM apps, AI automation systems, internal AI tools, and production-ready AI software using Python, LangGraph, LangChain, LlamaIndex, FastAPI, Rust, TypeScript, OpenAI, Claude, Gemini, vector databases, and cloud infrastructure.
What I do best:
1. AI Agent Development
2. RAG pipelines and retrieval systems
3. LLM app development
4. AI internal tools
5. AI document processing
6. Knowledge base and chatbot systems
7. API development and AI integrations
8. Vector database setup and optimization
9. AI workflow automation
10. AI audits, scoping, and technical planning
My strongest work is around AI agents and RAG.
For AI agents, I build systems that can reason, use tools, call APIs, work with memory, and complete multi-step tasks without needing constant human input.
For RAG, I build retrieval systems that go beyond basic vector search. This includes document ingestion, hybrid search, reranking, embeddings, layout-aware parsing, evaluation, and grounded answers from your own company data.
I am an expert at:
Python, Rust, TypeScript, FastAPI, React, Next.js, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI, Claude, Gemini, Hugging Face, Milvus, Pinecone, PGVector, Chroma, Weaviate, PostgreSQL, Docker, Azure, AWS, RunPod, Vast AI, Linux, N8N, and CI/CD pipelines.
The clients I work best with are B2B companies, enterprise teams, software companies, AI startups, and businesses with complex documents, workflows, internal data, tickets, knowledge bases, or operations that need to become easier to search, automate, and manage.
If you need AI Agent Development, RAG, LLM app development, Python backend engineering, or production AI infrastructure, send me a message.
I wanna hear your idea now, how can I help?
Steps for completing your project
After purchasing the project, send requirements so Ignas can start the project.
Delivery time starts when Ignas receives requirements from you.
Ignas works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review & API Key Provisioning
I review your use case, documents, and integration stack. You receive your RustyRAG API key, Swagger docs link, and a quickstart guide tailored to your language (Python, TypeScript, or cURL) within 24 hours.
