jakobap/aaron
Step-by-step challenge lab repo to build your custom LLM Deep Researcher Assistant using Genkit
Builds a research agent using Genkit's agentic framework with multi-step reasoning, combining prompt engineering, semantic vector search over a Firestore knowledge base, and RAG pipelines to answer technical queries. The lab progresses through five challenges: entity extraction via LLM prompting, chunking and embedding documents with Vertex AI, semantic retrieval and summarization, multi-turn agentic workflows, and tool integration—all orchestrated through Next.js and deployed on Google Cloud infrastructure via Terraform.
No commits in the last 6 months.
Stars
96
Forks
88
Language
TypeScript
License
—
Category
Last pushed
Aug 11, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/jakobap/aaron"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
curiousily/AI-Bootcamp
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs,...
patchy631/ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and...
langroid/langroid
Harness LLMs with Multi-Agent Programming
datawhalechina/hello-agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程