🦛 CHONK docs with Chonkie ✨ — The no-nonsense RAG library
- Updated
Nov 4, 2025 - Python
🦛 CHONK docs with Chonkie ✨ — The no-nonsense RAG library
ChatGPT PROMPTs Splitter. Tool for safely process chunks of up to 15,000 characters per request
Fully neural approach for text chunking
An agent with human in the loop that can search the web for information while bypassing bot detection for private sites.
We compared LangChain, Fixie, and Marvin
Generative AI projetc using LangChain for similarity search. Input 3 articles urls and ask something about the topic
Leveraging Langchain for a RAG (Retriever Augmented Generation) project, this implementation enables efficient querying across multiple books, enhancing data retrieval and natural language generation for context-rich answers.
Allows you to upload to GitHub text files over 100MB
Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.
Text splitting example using Tiktoken
Web scrapper to scrap and prepare data for data ingestion in RAG pipeline of LEDAA project.
📄 Summarize research papers, extract citations, and answer queries with this AI-powered assistant built using LangChain and OpenAI's GPT model.
Examples and usage of LangChain text splitters, including CharacterTextSplitter and the widely used RecursiveCharacterTextSplitter for splitting text into meaningful chunks. Supports structured text, code, markdown, and semantic-aware splitting for LLM applications.
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