Project Description
Project Overview
I am a business owner with four safety gear brands (manufacturing). I want to migrate data from our company server into a private, local knowledge base on my laptop and set up an AI agent (Claw/OpenClaw-style) to work with that data for complex business tasks.
Scope of Work / Deliverables
Data Indexing & Knowledge Base (RAG)
Set up a local "brain" (Vector DB like AnythingLLM, ChromaDB, or LlamaIndex).
Create a workflow to ingest/sync folders of business data (Product Specs, OSHA manuals, Pricing, Order History).
Ensure the agent can "retrieve" relevant facts from these files before answering.
Agent Framework (Claw / OpenClaw)
Install and configure the agentic framework on my machine.
Connect it to the Knowledge Base as a "tool."
Connect to an LLM provider (API or local Ollama).
Complex Custom Workflows (Skills)
Lead Research: Agent searches my local catalog to suggest products for a specific customer request.
Drafting: Agent uses my company templates and past quotes to draft new proposals.
Compliance Bot: Agent cross-references current product designs against local OSHA/ANSI PDFs.
Safety & Private Handoff
Air-Gapped Privacy: Data remains local; explain exactly what goes to the cloud model and what doesn't.
Guardrails: No writing/sending/deleting files without a "Human-in-the-loop" approval button.
Documentation: A simple "User Guide" on how to add new files to the "brain" and how to run the agent.
Technical Requirements
Proficiency in Python/TypeScript.
Experience with RAG (Retrieval-Augmented Generation) and Vector Databases.
Familiarity with AI Agent frameworks (OpenClaw, AutoGPT, LangChain, or CrewAI).
Strong focus on data privacy and local-first architecture.
I am looking for a fixed-price bid between $1,500 and $2,00 depending on your experience with RAG and Apple Silicon optimization.