document-chunking 开源项目推荐（23 个）

GiovanniPasq /chunky

A local, open-source visual workspace for RAG document preparation: inspect PDF conversion, refine Markdown, compare chunking strategies, and enrich chunks before indexing.

messkan /rag-chunk

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

speedyk-005 /chunklet-py

One library to split them all: Sentence, Code, Docs. Chunk smarter, not harder; built for LLMs, RAG pipelines, and beyond.

satwiksps /steadlith

Steadlith reuses unchanged RAG chunks with content-defined identities, cache-aware planning, and transactional indexing.

SStephanJX /Snowflake-RAG-System

Production-ready Snowflake RAG system with type-specific chunking

Jeevav62 /chunking-techniques

A practical guide to 6 document chunking strategies for RAG and LLM applications — Document, Fixed-Size, Recursive, Sentence, Semantic, and Agentic chunking with working code and plain-English explanations.

davidmoserai /AzureDocumentIntelligenceChunker

A lightweight Python library for metadata-rich document chunking in Retrieval-Augmented Generation (RAG) workflows. It leverages Azure AI Document Intelligence to enhance chunking by retaining hierarchical structure, page numbers, and bounding boxes for seamless integration with PDF viewers.

Sheltercosmo /0halluciation-drift-indexing

Reliable decisions with a purely statistical prior for document topic blocking. Jev-based indexing with zero generative LLM calls and optional embeddings.

kooroshsajadi /retrieval-augmented-generation

This repository provides a fully modular implementation of a Retrieval-Augmented Generation (RAG) pipeline tailored for Italian legal-domain documents.

jameswilson-20 /property-document-vector-ingest

Chunk property documents and ingest them into an Infrai vector collection.

Srijareddy123 /rag-document-pipeline

RAG ingestion pipeline with document quality checks, fixed and semantic chunking, local or Bedrock embeddings, ChromaDB and FastAPI. Load tested on 49,499 Wikipedia articles.

meethardik /QandAUsingLLM

building a CPU-Only "PDF Q&A System" using hugging face, chromaDB vector search, and Python

ahmetguness /doc-chunking-api

FastAPI service for document chunking and sentence-transformer embeddings for RAG, semantic search, and vector database ingestion.

choudaryhussainali /Langchain_Learnings

"My complete LangChain learning journey — from basics to advanced RAG, LCEL, LangGraph, LangServe, LangSmith with hands-on code examples."

EmberV58 /legaltech-vector-intake

Chunk legal matter documents, store embeddings, and track follow-up deadlines.

Angelica-M /ai201-project1-rag-system-with-guardrails-v2026

CLI RAG system (with ChromaDB vector database) that consists of a relevance-gate guardrail against hallucination, grounded source-cited answers, and acceptance criteria validated through repeated, reproducible test runs for each of 5 success criteria rather than a single pass.

FoxRav /RL-astradb-

Astra Vector DB on Python-paketti, joka tallentaa dokumentteja DataStax Astra DB -vektoritietokantaan ja suorittaa semanttista hakua.

FinnOakley52946 /storefront-order-vector-ingest-vector-ingest-ecommerce-types

Typed storefront service that chunks and indexes checkout, fulfillment, receipt, and customer order updates.

Khushhiii08 /Scoped-Deontic-RAG

Structure-aware, deontic logic-grounded RAG with deterministic cross-reference resolution for zero-hallucination legal document intelligence.

alienveryilmaz /RAG-text-splitter-document-chunking-tool

Smart text chunking tool for RAG systems. Splits long texts into sentence-based chunks with ~10%-15% overlap for better context retention. Runs fully in-browser with a clean UI and copyable outputs.