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$
USD
I will prepare and format your knowledge base for rag and ai chatbots
Nestor M.
Level 1
About this gig
Stop feeding your AI garbage. Get RAG-ready data.
LLMs hallucinate because they can't read messy PDFs or unstructured docs. I engineer your raw files into clean, logically segmented datasets optimized for vector DBs (Pinecone, Chroma, Weaviate) or OpenAI assistants.
What I Do:
- Deep Cleansing: Remove formatting noise, headers, and fluff.
- Markdown Conversion: Transform rigid PDFs into flexible .md files.
- Semantic Chunking: Split data by logical context, not just character counts.
- Q&A Generation: Extract strict Q&A pairs for fine-tuning or RAG testing.
Perfect For: Company wikis, SOPs, tech manuals, and compliance docs.
Save developer time. Send me the mess, get a plug-and-play dataset.
Message me before ordering with your project details!
Get to know Nestor M.
Nestor M.
Precision and efficiency in every word
Level 1
- FromParaguay
- Member sinceOct 2022
- Avg. response time2 hours
- Last delivery1 month
Languages
English, Spanish, Portuguese
Bilingual Lawyer & AI Solutions Architect 🤖
I merge legal-grade precision with cutting-edge AI to engineer, extract, and structure complex data at scale.
🔹 RAG Data Prep: Transforming messy corporate PDFs into clean, logically chunked Markdown for AI chatbots.
🔹 Data Extraction: Converting unstructured docs, RFPs, and invoices into pristine JSON/CSV formats.
🔹 AI Media: Studio-grade voiceovers, multilingual lip-sync & realistic dubbing (EN/ES/PT).
Flawless logic. AI speed. Message me to optimize your workflow. 🌎
FAQ
What file formats do you accept?
I accept PDFs, Word Documents (.docx), plain text (.txt), PowerPoint, or even messy CSVs.
Do you build the chatbot or connect the API for me?
No. My specialty is strictly upstream data engineering. I provide the clean, structured fuel (Markdown/JSON) that your developers or no-code tools (like Voiceflow or Botpress) need to make your chatbot work flawlessly.
What is "Semantic Chunking" and why do I need it?
Basic chunking cuts text every 500 characters, often breaking the context mid-sentence. Semantic chunking uses AI logic to keep related concepts together, dramatically reducing AI hallucinations.
Is my data safe?
Absolutely. I do not use your proprietary data to train public models. Once the project is delivered and the file is handed over to you, it is permanently deleted from my workspace.
