AI Infrastructure · PyPI

vectorlessrag

Document intelligence API — no vectors, no embeddings, just LLM reasoning over document structure.

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Details

GitHub profile
@akhilajithnair4
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/akhilajithnair4/vectorlessrag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@akhilajithnair4

Overview

Document intelligence API — no vectors, no embeddings, just LLM reasoning over document structure.

Quick start

pip

pip install vectorlessrag

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

What vectorlessrag can do

llmragembeddingreasoningretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Reasoning — Works through multi-step problems with explicit logic.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is vectorlessrag?
Document intelligence API — no vectors, no embeddings, just LLM reasoning over document structure.
How do I install vectorlessrag?
Use pip: `pip install vectorlessrag`. Full setup details on the source page linked above.
Is vectorlessrag open source?
vectorlessrag is published on PyPI.
What are alternatives to vectorlessrag?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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