Data & Research · PyPI

omnidoc-rag

RAG pipeline for omnidoc-sdk — intent-aware chunking, evaluation, streaming, graph linking, and vector DB integrations

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Details

Author
Ganesh Kinkar Giri
GitHub profile
@your-org
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/your-org/omnidoc-rag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@your-org

Overview

RAG pipeline for omnidoc-sdk — intent-aware chunking, evaluation, streaming, graph linking, and vector DB integrations

Quick start

pip

pip install omnidoc-rag

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

What omnidoc-rag can do

agentllmragaiagentic-ai
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Agentic Ai — agentic-ai task automation.

Frequently asked questions

What is omnidoc-rag?
RAG pipeline for omnidoc-sdk — intent-aware chunking, evaluation, streaming, graph linking, and vector DB integrations
How do I install omnidoc-rag?
Use pip: `pip install omnidoc-rag`. Full setup details on the source page linked above.
Is omnidoc-rag open source?
omnidoc-rag is published on PyPI.
What are alternatives to omnidoc-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 omnidoc-rag is sourced from PyPI, published by Ganesh Kinkar Giri.

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