Loading repository data…
ashish7802 / repository
🧠 A practical toolkit for engineers building with LLMs — prompt templates, RAG patterns, FastAPI boilerplates & curated resources. Production-ready. Open source.
A practical, production-ready collection of prompts, patterns, templates, and resources for engineers building with Large Language Models.
Stop googling the same LLM patterns every project. This toolkit gives you everything you need — from battle-tested prompt templates to production FastAPI boilerplates — in one place.
| Folder | What you get |
|---|---|
/prompts | System prompts, few-shot templates, CoT patterns |
/patterns | RAG, Agents, Chains — with working Python code |
/templates | FastAPI + LangChain starter boilerplates |
/resources | Curated papers, tools, courses |
/examples | End-to-end real-world mini projects |
git clone https://github.com/ashish7802/llm-engineer-toolkit
cd llm-engineer-toolkit
pip install -r requirements.txt
Pick a template and go:
cd templates/fastapi-llm
uvicorn main:app --reload
Ready-to-use system prompts for common use cases:
patterns/rag/
├── basic-rag.py # Simple vector search + LLM
├── advanced-rag.py # Reranking + hybrid search
└── README.md
patterns/agents/
├── tool-calling-agent.py # Function calling pattern
├── react-agent.py # ReAct (Reason + Act) loop
└── README.md
patterns/chains/
├── summarize-chain.py # Map-reduce summarization
├── extraction-chain.py # Structured output extraction
└── README.md
Production-ready REST API with streaming support.
templates/fastapi-llm/
├── main.py # FastAPI app with /chat endpoint
├── llm.py # LLM client wrapper
├── models.py # Pydantic request/response models
├── requirements.txt
└── .env.example
Features:
templates/langchain-starter/
├── app.py
├── chains/
├── tools/
└── requirements.txt
Real-time token streaming with FastAPI + React frontend.
| Tool | Use Case |
|---|---|
| LangChain | LLM orchestration |
| LlamaIndex | RAG pipelines |
| Chroma | Vector database |
| Instructor | Structured outputs |
| Outlines | Guided generation |
| DSPy | Programmatic prompting |
| Weave | LLM evaluation & tracing |
| Project | Description | Stack |
|---|---|---|
| Chat with PDF | RAG over PDF documents | FastAPI + Chroma + Claude |
| SQL Agent | Natural language to SQL | LangChain + SQLite |
| Code Reviewer | Automated PR reviews | GitHub Actions + OpenAI |
Got a pattern, prompt, or resource that saved your life? Add it here!
git checkout -b feature/amazing-pattern)git commit -m 'Add amazing pattern')git push origin feature/amazing-pattern)See CONTRIBUTING.md for guidelines.
Inspired by the work of the open-source AI community. Built by Ashish Yadav.
⭐ If this saved you time, drop a star — it helps others find it!
Selected from shared topics, language and repository description—not editorial ratings.
patternseeker3 /
🧠 Exploring agentic AI, autonomous workflows, and LLM orchestration — with a quiet, practical mindset. Built in Python, powered by LangChain, OpenAI, and beyond.