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llm-python

onlyphantom/llm-python

LLM tutorials and scripts covering langchain, openai, llamaindex, GPT, ChromaDB, Pinecone

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

49views this month

931 stars316 forksLast push Feb 20, 2026 Jupyter Notebook MIT

Decision brief

Jupyter Notebook tutorials and scripts for working with LangChain, OpenAI API, llamaindex, GPT models, ChromaDB, and Pinecone.

Good fit when

  • When you want comprehensive Jupyter-based tutorials on integrating multiple LLM tools including OpenAI and LangChain.
  • If you seek hands-on practice with advanced concepts like tool-use agents that interact with real-world financial data APIs.

Avoid when

  • Avoid if you require a purely code-library without tutorial-like content in Jupyter Notebooks.
  • Not suitable if your project strictly demands proprietary or closed-access LLM tools not covered in the repo, like those beyond OpenAI and LangChain.

Observed Jul 14, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (211d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
159 low (159 low)
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/onlyphantom/llm-python

How it fits your stack(10)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A repository featuring Jupyter Notebook-based tutorials and sample scripts for working with Large Language Models (LLMs) incorporating tools like LangChain, OpenAI API, llamaindex, ChatGPT models, ChromaDB, and Pinecone.

Capability facts

Languages
jupyter notebook

Source: github.language · Sep 20, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

OpenAI APIOpenAI API

Source: README excerpt (regex_v1, Sep 20, 2026)

4. Create a `.env` file which contains your OpenAI API key. You can get one from [here](https://beta.openai.com/). `HUGGINGFACEHUB_API
Source link
Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

d Generative AI 5-course series](https://docs.sectors.app/recipes/generative-ai-python/01-background) to learn how to use the API to build sophisticated LLM applicati
Source link

Tags

README

Quick Start 1. Clone this repo 2. Install requirements: 3. Some sample data are provided to you in the foldeer, but you can use your own data by replacing the content (or adding to it) with your own text files. 4. Create a file which contains your OpenAI API key. You can get one...

For agents

This page has a .md twin and JSON over the API.

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