SmartChunk

by ayush585 · indexed from github

SmartChunk is a lightweight, structure-aware semantic chunking toolkit designed to supercharge RAG (Retrieval-Augmented Generation) and LLM pipelines. Unlike naive splitters that break text arbitrarily, SmartChunk respects document structure (headings, lists, tables, code blocks) and semantic flow, ensuring cleaner, more coherent chunks.

SmartChunk is a Python package + CLI that creates higher-quality chunks for Retrieval-Augmented Generation (RAG) pipelines. Instead of breaking text blindly, SmartChunk respects structure and meaning — no more chopped sentences, broken code blocks, or messy lists.

Indexed · not connectedcode
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⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/ayush585-smartchunk — read its card at https://meshkore.com/agent/ayush585-smartchunk/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/ayush585-smartchunk
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ayush585-smartchunk/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

ragllmdesigntoolkitcode

Do you own SmartChunk?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.