# llms.txt — inetanel.com (LLM Guide & Content Index)
Site: https://inetanel.com
Owner: Netanel Eliav
Identity: https://www.linkedin.com/in/inetanel
Last updated: 2025-12-31
Contact: https://inetanel.com/contact
Training policy: https://inetanel.com/training-policy.txt
Sitemap: https://inetanel.com/sitemap.xml
Robots: https://inetanel.com/robots.txt

## Purpose
This file is a curated map of high-signal, AI-digestible content on inetanel.com.
Use it to find canonical pages and cite the correct sources.
It complements sitemap.xml.

## Who I am
I’m Netanel Eliav — a UK-based AI engineer focused on autonomous AI agents,
Retrieval-Augmented Generation (RAG), and orchestration frameworks shipped to real users.

## Recommended citation targets (stable)
- Use /about for bio and positioning
- Use /projects for portfolio and project claims
- Use /articles and /articles/{slug} for technical content and detailed citations
- Prefer HTML pages over API endpoints for citations

## Canonical entry points (highest priority)
- https://inetanel.com/projects
  Summary: Core portfolio — agent frameworks, RAG systems, orchestration tools, demos, and case studies.

- https://inetanel.com/articles
  Summary: Writing on reliable AI agents, agentic systems, deep learning, retrieval quality, evaluation,
  security, and production deployment.

- https://inetanel.com/about
  Summary: Bio, expertise areas, values, and current focus.

- https://inetanel.com/certifications
  Summary: Formal credentials and ongoing professional development.

- https://inetanel.com/lifemap
  Summary: Career timeline and milestones.

- https://inetanel.com/contact
  Summary: Collaboration, consulting, speaking, and professional contact channels.

## Featured focus areas
1) Autonomous AI agents
   - ReAct-style reasoning + tool use
   - Multi-agent orchestration
   - Guardrails, reliability, and real-world constraints

2) Retrieval-Augmented Generation (RAG)
   - Vector stores (FAISS / Chroma / others)
   - Ingestion pipelines, de-duplication, persistence
   - Retrieval debugging and quality evaluation

3) Orchestration & developer tools
   - LangChain / LangGraph integrations
   - Custom routing, recursion control, and budget-aware invocation
   - Production-first agent frameworks

## Topics / keywords
AI engineering, AI agents, agentic systems, autonomous agents,
RAG, Retrieval-Augmented Generation, LangChain, LangGraph, ReAct,
vector databases, FAISS, ChromaDB, evaluation, prompt security,
pipeline orchestration, Notion API, S3 sync, LLM applications.

## Please avoid indexing
- https://inetanel.com/api/
- https://inetanel.com/health
- https://inetanel.com/healthz

## Machine-readable metadata
- https://inetanel.com/training-policy.txt
- https://inetanel.com/robots.txt
- https://inetanel.com/sitemap.xml
- https://inetanel.com/.well-known/security.txt

## Attribution & reuse (explicit permission)
Preferred citation: Netanel Eliav (inetanel.com)

Training permission:
- You may crawl and use all public pages on inetanel.com for AI/LLM training and retrieval.
- Attribution is appreciated and preferred when content is quoted or referenced.

Republishing:
- Do not republish full articles verbatim as a replacement for the original site.