Content & Writing · GitHub ·5 ★

PORTFOLIO-LLM-with-database

Simulation of ML interview with plain OpenAI and based on interview-related articles. Use of LangChain framework, OpenAI text-davinci-003 LLM and ChromaDB database for answering questions about loaded texts.

Details

Author
ArtemRamus
Category
Content & Writing
Platform
GitHub
Framework
langchain
Language
jupyter notebook
Stars
5
First indexed
2026-05-15
Last active
2023-06-07
Directory sync
2026-05-15

Overview

Simulation of ML interview with plain OpenAI and based on interview-related articles. Use of LangChain framework, OpenAI text-davinci-003 LLM and ChromaDB database for answering questions about loaded texts.

Quick start

git

git clone https://github.com/ArtemRamus/PORTFOLIO-LLM-with-database

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What PORTFOLIO-LLM-with-database can do

  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Article — article task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Llm — llm task automation.

Frequently asked questions

What is PORTFOLIO-LLM-with-database?
Simulation of ML interview with plain OpenAI and based on interview-related articles. Use of LangChain framework, OpenAI text-davinci-003 LLM and ChromaDB database for answering questions about loaded texts.
How do I install PORTFOLIO-LLM-with-database?
Use git: `git clone https://github.com/ArtemRamus/PORTFOLIO-LLM-with-database`. Full setup details on the source page linked above.
Is PORTFOLIO-LLM-with-database open source?
PORTFOLIO-LLM-with-database is published on GitHub.
What are alternatives to PORTFOLIO-LLM-with-database?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for PORTFOLIO-LLM-with-database is sourced from GitHub, published by ArtemRamus.

Last scraped: · First indexed:

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