{"repo":"PAndreew/docustore","free":true,"listed":false,"github":"https://github.com/PAndreew/docustore","clone":"git clone https://github.com/PAndreew/docustore.git","description":"Self hostable API server for vectorized technical documentations","language":"Python","stars":47,"topics":[],"license":null,"category":"self-hosted-apps","readme_excerpt":"docustore - Self-hostable vectorized documentation API docustore is self-hostable API server which consists of an automated pipeline that scrapes software documentation, processes the content, creates self-contained, downloadable Knowledge Packs AND a Dockerized FastAPI server for querying the Knowledge Packs. The goal is to provide developers and LLMs with up-to-date, off-the-shelf grounded information, especially for frameworks that are rapidly changing or less popular. Instead of just providing raw text, this project chunks, cleans, and embeds the documentation into a portable vector store. The resulting \"Knowledge Pack\" can be used locally for offline-first Retrieval-Augmented Generation (RAG) applications OR served as API with Docker, ensuring that AI-powered developer tools have access to accurate, versioned information. Core Features - Platform-Agnostic API Server : A ready-to-use FastAPI server that can be run locally via Docker or deployed to any cloud provider (GCP, AWS, etc.) to serve queries from the Knowledge Packs. - Automated Content Scraping : Uses Firecrawl to efficiently scrape and convert web pages into clean Markdown. - Intelligent Text Chunking : Splits documents into semantic chunks based on headers for optimal context in RAG systems. - Vector Embeddings : Converts text chunks into vector embeddings using state-of-the-art sentence-transformer models. - Persistent Vector Store : Uses ChromaDB to create a portable, file-based vector database. - Downloadabl","default_branch":null,"files":null,"tree":[],"storefront":"/r/PAndreew","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PAndreew/docustore/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}