Tools tagged with "RAG"

LangChain is an open-source framework for developers building AI agents and LLM applications, including apps that run models locally through Ollama. Its Python ChatOllama integration connects to open-weight models such as gpt-oss. You write the application in code, while Ollama handles local inference.

AnythingLLM is an AI assistant for people who want document chat and agents on their own hardware. Its desktop app can work with local models without an account or cloud API key.

chromem-go is a vector database for Go developers adding semantic search or retrieval augmented generation (RAG) to an application. It runs inside the app, so it doesn't need a separate database server.

Witsy is a desktop AI assistant for people who want to chat with models, work with documents and write across applications. You can choose local models or cloud providers, with feature availability depending on the backend.

Braina combines AI chat, dictation and computer control for people who want to work through spoken or typed commands. It can run language models on your own computer and help with writing, document research and repetitive desktop tasks.

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.

Brave Leo is an AI assistant inside the Brave browser for people who want help with what they're reading. Bring Your Own Model support lets you use a local LLM or a remote model for browser conversations.

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.

Local Deep Research is a self-hosted AI research assistant for people investigating complex questions across web sources, academic papers and their own documents. It gathers evidence and writes reports with citations.

Joplin Jarvis is an AI assistant for people who keep their research and writing in Joplin. It uses your notes as context for conversations and helps you find related material or annotate your collection.

aichat is a terminal AI assistant for people who want to discuss files, generate shell commands and use model-powered tools from the command line. It connects to Ollama, OpenAI, Claude, Gemini and OpenAI-compatible API providers.

Pieces builds a searchable history of your work across apps for people who need to recover earlier decisions, find research or pick up an interrupted task. It runs in the background on your computer.

LLMStack is a self-hosted no-code builder for teams creating AI agents, chatbots and workflows around their own data and business processes. You can run it on your own infrastructure or use Promptly, its hosted cloud offering. Self-hosting runs the platform on your server; connected cloud model providers process requests outside it.

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.

AI Runner is a desktop app for people who want an AI companion and an art workspace on their own hardware. Its local chat, voice and image tools work offline without an API key or subscription.

Diariz is a self-hosted meeting transcription app for individuals and teams that want recordings and transcripts on their own server. It turns captured or uploaded audio into searchable meeting records.

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.

arxiv-mcp-server gives AI assistants tools to find and study arXiv papers. It's for researchers who want an assistant to inspect specific sections and work with a locally stored paper library.

Minutes is a meeting notetaker for people who want searchable records of calls, voice memos and everyday dictation on their own computer. You can read the notes in the app or let an AI assistant search the conversations you choose to share.

ResearchNotebookLM is a free, self-hosted alternative to Google NotebookLM for people studying papers, collecting research or working with private documents. It runs through a browser on Windows, macOS or Linux, and can run on your own server. With Ollama, questions and answers stay local and work offline without a cloud account.

SolidGPT is an AI search assistant for developers, available as a VS Code extension or a self-hosted server with a browser interface. The application can run on your machine or server, but its AI processing uses OpenAI's cloud API. It needs an API key and an internet connection, so hosting it yourself doesn't make model inference local.

Atlas is a desktop workspace for developers who use coding agents across projects and want to keep the context behind their code changes. It brings agent conversations, code review and project history into one window.

Code Review Graph helps developers review changes with AI coding assistants without repeatedly supplying an entire repository. It keeps a local map of code relationships and returns the context relevant to a change or question.

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.

CAMEL is a Python framework for developers and researchers building AI agent teams with models running locally through Ollama or through remote providers. Its Ollama integration connects agents to a local model service; choosing OpenAI instead sends model requests to OpenAI and requires an API key. The framework is open source under Apache 2.0.

Laya brings work notifications into one feed for people managing email, tickets, pull requests, and team messages. It gathers related context and prepares action cards with drafts you can review before sending.

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.

OpenTutor is a local AI learning workspace for students who want to study their own course materials with a tutor that adjusts to their progress. It targets individual study rather than shared classroom use.

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.