https://github.com/jakecyr/llm-query-local-data

Query local data using an Embedding model to convert your data into vectors and an LLM to respond to queries.
https://github.com/jakecyr/llm-query-local-data

chatgpt gpt llm openai pdf query vectordb

Last synced: 23 days ago
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Query local data using an Embedding model to convert your data into vectors and an LLM to respond to queries.

• Host: GitHub
• URL: https://github.com/jakecyr/llm-query-local-data
• Owner: jakecyr
• Created: 2023-08-03T01:09:59.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-08-03T01:11:54.000Z (over 1 year ago)
• Last Synced: 2024-11-16T16:27:30.840Z (3 months ago)
• Topics: chatgpt, gpt, llm, openai, pdf, query, vectordb
• Language: Python
• Homepage:
• Size: 46.9 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LLM Search

Query for information in documents using natural language and the power of LLMs and semantic search through local vector indexes.

## Installation

1. Install poetry with `pip install poetry`

2. Install the project and required dependencies with `poetry install`

3. Set your OpenAI secret key with `export OPENAI_API_KEY=`

4. Add text files to the "data" folder as context.

5. Run the chat interface with `poetry run python llm_search/main.py`