Skip to main content

A pipeline for question answering and retrieval-augmented generation (RAG)

Project description

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 .

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rag-pipeline-qa-0.1.tar.gz (1.5 kB view details)

Uploaded Source

File details

Details for the file rag-pipeline-qa-0.1.tar.gz.

File metadata

  • Download URL: rag-pipeline-qa-0.1.tar.gz
  • Upload date:
  • Size: 1.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.2

File hashes

Hashes for rag-pipeline-qa-0.1.tar.gz
Algorithm Hash digest
SHA256 1683ec45b23acd7adc31b236ce49d6b9e743b56ab6c6f933d28a04081deff040
MD5 de43bf2f6757a21f0c3f81124aed7cd5
BLAKE2b-256 6c574851737bd9ecaf45e296e62a2d50131bbe6e26e006b40a3eb9f01fe18bfe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page