RAG Frameworks, Parsers and Vector Databases

ReadAny is an AI e-book reader for people who want to question a book, find an idea they remember imperfectly and keep notes alongside their reading. It combines a personal library with answers tied to book passages.

EmbedAnything is a local embedding pipeline for developers building semantic search and retrieval-augmented generation (RAG) applications. It turns documents and media into vectors for indexing in a vector database.

Morphik Core is a retrieval engine for developers building AI applications around documents whose meaning depends on charts, diagrams, or page layout. It brings document search and structured extraction into one platform.

MaxKB is an AI agent platform for organizations building support bots, internal knowledge assistants and business automation. It combines answers based on company documents with workflows that can act through connected tools.

PrivateGPT is a self-hosted API layer for developers building applications around local models. It requires a separate inference server, such as Ollama, llama.cpp, vLLM or LocalAI; it doesn't run models itself.

Onyx is an AI search and chat platform for teams with information scattered across workplace apps. It gives employees and AI agents answers grounded in company documents.

Ragpi is a self-hosted AI assistant API for teams that want to answer technical questions using their own project material. It lets developers add documentation-based support to a product, website or community.

Open WebUI is a self-hosted chat workspace for individuals and teams using local LLMs and cloud models. It can work entirely offline with local models.

Local OpenAI LLM for Home Assistant connects conversation agents and AI tasks to models served through an OpenAI-compatible API. It's for Home Assistant users who want to choose their own model server for voice conversations and generation tasks.

LocalDocRAG is a self-hosted PDF question-answering app for people who want to search their documents with a local LLM and check answers against specific pages. It runs through Docker on macOS, Windows, Linux or a Raspberry Pi, with a browser interface accessible from phones and computers on the same network. It's open source under the MIT license.

Paddler lets product and infrastructure teams serve AI models on their own servers and spread requests across multiple machines. It's built for applications that need text generation or embeddings while keeping inference within infrastructure the team controls.

Jina Reader is a web extraction API for developers building AI agents, search tools and systems that answer questions from retrieved documents. It turns page content into Markdown or JSON instead of passing raw HTML to an LLM.

PaddleX is a low-code toolkit for developers building AI applications with PaddlePaddle models. It brings pretrained pipelines and model training into one tool for applications that process documents, images or time-series data.

LangExtract is a Python library for developers who need to turn notes, reports or other text into structured data. It links extracted details to their original passages so people can check the results against the document.

Minima lets you ask questions about your own documents, with a choice of local inference or an external model. It's a self-hosted RAG tool for people and teams who want document-based answers while controlling where indexing and AI processing happen. It runs in Docker containers and is open source under the Mozilla Public License 2.0.

OneRAG is a self-hosted RAG framework for developers building chatbots that answer questions using their own documents. It combines document retrieval and AI answers, with replaceable components for different models and search needs.

SwarmVault is a self-hosted knowledge base for people organizing research, notes or code documentation for themselves and AI agents. It turns collected sources into a persistent Markdown wiki with connections you can inspect.

OpenRAG is a self-hosted platform for searching documents and asking questions about them through an AI chat interface. It brings Langflow, OpenSearch, and Docling together for developers and teams that want a document knowledge base with control over its retrieval workflows. It's open source under Apache 2.0 and supports self-managed deployment with Docker or Podman.

Hiring Agent helps hiring teams rank resume PDFs to decide which applications to review first. HackerRank built it for intern applications, with human reviewers making the hiring decisions.

Surya is a local OCR toolkit for developers who need text and page structure from document images. It handles multilingual documents and preserves reading order for use in document-processing applications.

Genkit is Google's framework for developers building AI agents and chatbots into web and mobile apps. It brings model connections, application workflows and testing tools into one framework.

PaddleClas is a PaddlePaddle toolkit for developers and researchers building image classification and recognition applications on their own hardware. It covers fixed-category classifiers and image matching for large or frequently changing catalogs.

Verba is a self-hosted document chatbot for people who want to ask questions across their files and knowledge bases. The project is archived and no longer maintained, so it won't receive bug fixes or security patches.

Flowise is a visual builder for developers and teams creating AI agents and chatbots from connected workflow blocks. The project is archived and no longer maintained.

pgai is a Python library for developers building RAG applications and AI agents around PostgreSQL data. The project is archived and no longer maintained or supported.

NVIDIA RAG Blueprint is a reference framework for developers building AI question answering over enterprise data. It retrieves relevant material from your documents to ground answers and can cite the retrieved sources.

Cognita is a self-hosted RAG framework for developers building applications that answer questions from their own documents. The project is archived and no longer maintained.

RAGs lets you create a chatbot that answers questions about a single local file or web page. It's for people who want to describe their task in plain language and review the resulting setup through a visual interface.