wraps each line in a paragraph in an element
A semantic text splitter that intelligently splits text by punctuation, preserves special patterns, and supports markdown content processing with multilingual support
#### Description I needed the SentenceSplitter from llamaindex but had to import the entire llamaindex package which is 1GB. I pulled it out and had GPT make a standalone version. It's not exactly the same but close.
Splits text into individual elements for words and characters for the purpose of animation with the ability to revert back regular text
Private, local RAGs. Supercharge LLMs with your own knowledge base.
Helper for splitting and wrapping each word/letter of text/html with a span tag
Codepilot is an AI powered programming buddy that's an expert on your codebase.
A lightweight RAG helper library (embeddings, splitter, in-memory store, Postgres adapter)
Standalone readers and parsers from LlamaIndex
Codepilot is fairtly simple way to load a repo into a local embeddings db and talk to it via a gpt model.
A tree-based markdown text splitter that understands document structure to create semantically meaningful chunks for RAG applications
Not just your avarage text splitter.
Split text into semantic chunks, up to a desired chunk size. Supports calculating length by characters and tokens, and is callable from Rust and Python.
The best possible text chunker and text splitter and other text tools
Text splitters for LLM context windows: character, token, markdown, and recursive strategies
entelix RAG primitives — Document with provenance + lineage, DocumentLoader / TextSplitter / Chunker traits. Algorithmic primitives for retrieval-augmented generation pipelines; concrete source connectors ship as companion crates.
A Rust library for splitting text into chunks with overlap, designed for handling large amounts of text efficiently. Implementation is identical to langchain's CharacterTextSplitter
Semantic memory with SQLite and Qdrant for Zeph agent
A LangChain-inspired framework for building LLM applications in Rust. Supports OpenAI, Agents, Tools, Memory, Chains, RAG, BM25, Hybrid Retrieval, LangGraph, HyDE, Reranking, MultiQuery, and native Function Calling.
A Rust framework for large language models, inspired by LangChain
LLM-powered knowledge graph: extract entity-relation-entity triples from text and store them in a queryable rune-graph property graph
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