#readme.md
QA RAG Pipeline
A Python package that implements a Question-Answering Retrieval-Augmented Generation (RAG) pipeline using OpenAI, FAISS, and Sentence Transformers.
Features
- Retrieve relevant context using FAISS.
- Generate standalone questions using OpenAI's LLM.
- Classify intent to block certain queries.
Installation
pip install .
1 maintainer
Release files for My-question-rag 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| My-question-rag-0.1.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| My_question_rag-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 kB
Release files / My-question-rag-0.1.tar.gz
| Download URL | My-question-rag-0.1.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.10.2
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Release files / My_question_rag-0.1-py3-none-any.whl
| Download URL | My_question_rag-0.1-py3-none-any.whl |
|---|---|
| Size | 1.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.10.2
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