Tools tagged with "Hybrid search"

Graphiti is a self-hosted Python framework for developers building AI agents that need to remember changing facts. It builds knowledge graphs from conversations, structured records and unstructured text, so an agent can query current information or recover what was true earlier. It's open source under Apache 2.0.

Qdrant is a self-hosted vector database for developers building semantic search, retrieval-augmented generation (RAG), recommendations and AI agent memory. It stores embeddings alongside JSON metadata, so applications can find similar content while restricting results by attributes such as location, text or numeric ranges. The Rust engine is open source under Apache 2.0 and runs locally in Docker or on your own servers.

RAGFlow is an Apache 2.0 licensed RAG engine for teams building AI agents that need to answer questions from their own documents. It can run on a self-hosted server through Docker on Windows, macOS or Linux. A separate hosted cloud service is available.

Open WebUI gives individuals and teams a self-hosted place to chat with local LLMs and cloud models. It runs on your own computer or server, including through Docker, and can work entirely offline with local models.

QMD is a local search engine for people with Markdown notes, meeting transcripts, or documentation they want to search themselves or make available to an AI agent. It accepts exact keywords and natural-language queries, with indexing and model inference running on your own machine. It's open source under MIT.

MindsDB Query Engine is a self-hosted server for developers building AI agents that need access to business data and documents. It queries connected sources through one SQL dialect and adds semantic search for unstructured content. You can run it locally or on your own server with Docker. Its core uses the Elastic License 2.0, with separate licenses in some directories.

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 The project is archived and no longer maintained. It uses Weaviate to find relevant passages and gives those passages to a language model to generate answers.

Zep Community Edition v1.0.2 is a deprecated, unsupported self-hosted memory service for developers building AI agents and conversational assistants. This legacy edition uses the Apache 2.0 license. It turns chat history into a knowledge graph that records how facts change over time, so an assistant can distinguish a user's current preferences from earlier ones.

Twinny is an AI coding assistant for VS Code that lets developers choose where their models run: on their own computer, a private server or a hosted API. It's for individuals and teams who want code suggestions and repository chat with control over where their code goes. The extension and team gateway are open source under the MIT license.

R2R is a self-hosted AI retrieval system for developers building applications that answer questions using their own documents. It combines search, retrieval-augmented generation (RAG) and a reasoning agent behind a REST API. The project is open source under the MIT license and runs as a Python service or in Docker.

Infinity is a self-hosted database for developers building search and retrieval-augmented generation (RAG) into LLM applications. It combines embedding search with full-text search and structured filters, so an application can retrieve relevant records through both meaning and exact terms.

SurrealDB is a self-hosted database for developers building AI agents, knowledge graphs and applications that need several kinds of data together. It stores documents, relationships, vectors and time-series data in one engine, so an application's records and its AI retrieval layer can share the same database.

AstrBot brings AI assistants into messaging apps such as Telegram, Discord, Slack, QQ and WeCom. It's an open source platform under AGPL-3.0 for people building personal companions, customer support bots or team automation. You can run it on your own computer or server, including through Docker, or use its desktop app for browser-style chat.

localGPT is a self-hosted AI document chat app for people who want to question and summarise files on their own hardware. Its local Ollama setup keeps documents and conversations on your machine. Answers include source passages, so you can check what the model used.

kotaemon is a self-hosted document chat app for people who want to ask questions across their files and check where the answers came from. It runs in a browser on Windows, macOS or Linux, with Docker also supported. The project uses the Apache 2.0 license.

Typesense combines typo-tolerant site search with vector and semantic search in a self-hosted engine. It's for developers building searchable apps, product catalogs or AI search over their own data. The C++ engine uses an in-memory architecture for low-latency results as users type.

LanceDB is an open source vector database for developers building AI retrieval applications and teams working with training datasets. Its embedded library runs locally or in your own cloud under the Apache 2.0 license. Cloud and Enterprise offerings provide managed infrastructure for production workloads.

DocsGPT is an MIT-licensed, open-source platform for teams that want AI search, assistants and agents over their own documents. It can run on your servers with local models, including fully air-gapped deployments where documents and questions stay inside your network. Answers include the source title and page number so readers can check the evidence.

Tiledesk is a self-hosted platform for building AI agents and connecting them to human support teams. It's aimed at businesses automating customer conversations, internal information searches and workflows through a visual builder. You can run it on your own server with Docker or Kubernetes, or use its hosted cloud service.

Meilisearch combines keyword search and AI retrieval in a search engine you can host on your own server. It's for developers building search into websites, applications, product catalogs, or internal data tools. Meilisearch Cloud provides a separate, fully managed hosted service.

Weaviate is a self-hosted vector database for developers building search applications, RAG systems, recommendation engines, and chatbots. It stores data objects alongside their vector embeddings, so applications can search by meaning and filter results using structured data. You can run the database locally with Docker, deploy it on Kubernetes, or use the hosted Weaviate Cloud service.

Milvus is an open-source vector database for developers building RAG applications, image search and recommendation systems. It stores embeddings alongside metadata so applications can retrieve related text, images or multimodal data. You can run it on your own hardware, from a laptop prototype to a distributed production cluster.

Vespa is a self-hosted AI search platform for developers building search, RAG, and recommendation systems over large, changing datasets. It combines retrieval with machine-learned ranking, so an application can find candidate results and evaluate their relevance in the same platform. The code is open source under Apache 2.0. You can run it on your own servers or use the managed Vespa Cloud service, where applications run in the cloud.

Haystack is a Python framework for developers building self-hosted AI agents, document search, and apps that answer questions using their own data. Its modular pipelines let teams control which information reaches a model and inspect how retrieval, memory, tools, and generation contribute to an answer. It's open source under Apache 2.0.