Data & Research · GitHub ·15 ★

llama-index-RAG

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

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Details

Author
romilandc
Category
Data & Research
Platform
GitHub
Framework
llamaindex
Language
python
Stars
15
First indexed
2026-05-15
Last active
2025-04-04
Directory sync
2026-05-15
@romilandc

Overview

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

Quick start

git

git clone https://github.com/romilandc/llama-index-RAG

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

What llama-index-RAG can do

inferencefine-tundataragllm
  • Inference — inference task automation.
  • Fine Tun — fine-tun task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.

Frequently asked questions

What is llama-index-RAG?
A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.
How do I install llama-index-RAG?
Use git: `git clone https://github.com/romilandc/llama-index-RAG`. Full setup details on the source page linked above.
Is llama-index-RAG open source?
llama-index-RAG is published on GitHub.
What are alternatives to llama-index-RAG?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llama-index-RAG is sourced from GitHub, published by romilandc.

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