AI Infrastructure · GitHub ·4 ★

rag-with-haystack-and-amazon-opensearch

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack

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Details

Author
ksmin23
Category
AI Infrastructure
Platform
GitHub
Framework
haystack
Language
jupyter notebook
Stars
4
First indexed
2026-05-15
Last active
2024-05-04
Directory sync
2026-05-15
@ksmin23

Overview

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack

Quick start

git

git clone https://github.com/ksmin23/rag-with-haystack-and-amazon-opensearch

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

What rag-with-haystack-and-amazon-opensearch can do

llmrag
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is rag-with-haystack-and-amazon-opensearch?
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack
How do I install rag-with-haystack-and-amazon-opensearch?
Use git: `git clone https://github.com/ksmin23/rag-with-haystack-and-amazon-opensearch`. Full setup details on the source page linked above.
Is rag-with-haystack-and-amazon-opensearch open source?
rag-with-haystack-and-amazon-opensearch is published on GitHub.
What are alternatives to rag-with-haystack-and-amazon-opensearch?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for rag-with-haystack-and-amazon-opensearch is sourced from GitHub, published by ksmin23.

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