Tools tagged with "Reranking"

Docker Agent runs individual AI agents or teams from configuration files. Developers can use it for coding assistants, research tasks and automation workflows.

Vellium is a desktop AI app for writers and people who want conversations with fictional characters. It combines multi-character roleplay with writing projects and lets you choose the model provider.

localGPT is a self-hosted document chat app for people who want to ask questions about files and summarise them on their own hardware. Its local processing keeps document content and chat data on the machine running the app.

RESTai is a self-hosted AI platform for developers and teams building document assistants, agents and AI services for other applications. Its web interface manages projects with separate models, prompts and tools, plus a chat playground for testing them.

MTPLX is a native Mac app, command-line tool and local LLM server for people running chat or coding models on Apple Silicon. It uses a model's own multi-token prediction heads to accelerate generation without a separate draft model.

LiteLLM is an AI gateway for platform teams managing model access across applications and providers. It puts cloud and self-hosted models behind a shared interface so developers can switch providers without rewriting their integration.

haiku.rag lets you search your own documents and ask questions with answers you can check against the original pages. It's for people building a private document library or giving an AI assistant access to their files.

LightRAG is a self-hosted framework for developers building AI assistants that answer questions across documents. It connects related facts across files, including material where relationships matter, such as legal and financial records.

PandaWiki is a self-hosted knowledge base for teams publishing product guides, technical documentation, FAQs, or blogs. It gives readers AI-assisted ways to find answers within those documents.

ChainForge helps developers test how reliably LLMs respond before choosing a prompt or model for an application. Its visual flows turn prompt variations into repeatable comparisons rather than isolated chat experiments.

Transcritório is a desktop app for researchers transcribing interviews and focus groups, with a focus on Brazilian Portuguese. It keeps audio, transcripts and metadata on your computer.

Polywise is a self-hosted system for people who want AI agents to work with saved research, notes, and project context. It keeps that material available across conversations so you don't have to explain the same work each time.

Text Embeddings Inference is a self-hosted server for developers building semantic search and retrieval applications. It turns text into embeddings through a REST API and can run offline once model weights are downloaded.

kotaemon is an open source document chat app for people who want to ask questions across their files and inspect the evidence behind an answer. Developers can also use it to build custom document question-answering applications.

QMD searches Markdown notes, meeting transcripts, documentation and knowledge bases on your own machine. It's for people who want to find material by its wording or meaning, and make that search available to an AI agent.

vllm-mlx is a local LLM inference server for developers who want to connect AI apps and coding assistants to models running on an Apple Silicon Mac. One process exposes both OpenAI-compatible and Anthropic-compatible APIs. It's open source under Apache 2.0 and runs on macOS with at least 8 GB of unified memory.

Zengram gives AI agents a shared memory across sessions and machines. It's for people using multiple assistants who want a discovery recorded by one agent to be available to the others.

FlashRAG is an open source Python toolkit for researchers and developers comparing retrieval-augmented generation (RAG) methods or building their own. It combines implemented research methods with prepared benchmark datasets and reported results, so experiments don't have to start with a separate codebase for each approach. It uses the MIT license.

PaperQA2 is a Python research assistant for researchers and developers who need answers grounded in scientific literature. It searches a local document collection and connects its answers to evidence through in-text citations.

Infinity is a search database for developers building retrieval-augmented generation (RAG), question answering and recommendation systems. It lets applications combine matches based on meaning with exact text matches and structured filters.

LazyLLM is a Python framework for developers building applications with multiple AI agents. It brings application workflows, model training and evaluation together so teams can refine a prototype using task-specific data.

Weaviate is a vector database for developers building search, recommendation and RAG applications. It stores data alongside embeddings so applications can retrieve related content and apply structured filters.

ThinkRAG answers questions about your own documents using a knowledge base on your laptop. It's for researchers, students and other knowledge workers who want to find information across their files, with particular attention to Chinese text.

LlamaIndex is a Python framework for developers building AI agents and applications that answer questions using their own data. It provides the connections and retrieval tools needed to give a language model relevant context from documents and other sources.

Haystack is a Python framework for developers building AI agents, document search and applications that answer questions using their own data. Its pipelines give teams control over the information a model receives and the steps that produce an answer.

llama-swap is a local AI proxy for people who want several models available to their apps without keeping them all loaded. It starts the server a request needs and replaces the active server when another model is requested.

RuoYi AI is a self-hosted AI assistant platform for teams building assistants that answer questions about their documents or perform tasks with external tools. It has separate user and admin interfaces.

Sonar serves language and multimodal models for developers and teams running AI applications on their own hardware. It builds on vLLM and works with Hugging Face-compatible models.

funes gives coding agents a searchable memory of past work. It's for developers who want earlier decisions, reasoning and findings to remain available when they start another session or switch agents.

docuchat is a local AI document assistant for attorneys, especially solo and small firms working with confidential case files. It answers questions across contracts, pleadings, exhibits and transcripts, then checks cited quotes against the source text. Answers point to the file, page and exact passage; deposition citations include verified line numbers.

llama.cpp is a local LLM inference engine for developers building AI applications or running models on hardware they control. It supports language and vision-language models, with command-line tools and a server API for using the engine directly or connecting other software.

Graphiti is a Python framework for developers building AI agents that need to remember information as it changes. It turns conversations, structured records and unstructured text into a queryable graph with a history of facts.

PyTerrier is a Python framework for researchers and developers building search systems or the retrieval part of a RAG application. It builds on Terrier and lets you combine retrieval and reranking components into pipelines, then compare their search effectiveness on standard datasets.

Marginalia is a research agent for people whose papers, notes and working files are spread across a mixed document library. It reads relevant parts of the original files before writing answers with citations.