Tools tagged with "Semantic search"

OpenSearch combines document and enterprise search with vector retrieval for AI applications. It's for developers building search into their products and teams analyzing application logs, infrastructure performance, or security events. The suite uses the Apache 2.0 license throughout, including its data ingestion and dashboard components.

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.

sqlite-vec adds vector storage and similarity search to SQLite, so developers can keep embeddings alongside application data in a local database. It's for applications that need to find related items by vector distance without running a separate vector database server. The extension is small, written in C and has no dependencies.

LlamaIndex is an MIT-licensed Python framework for developers building AI agents and apps that answer questions using their own data. It connects documents and other sources to language models, then helps an app find the relevant material when a user asks something. Its open source framework can work with models served through Ollama.

FastGPT is a self-hosted AI agent builder for teams that want assistants to answer questions using company documents and carry out business workflows. Its visual editor connects model calls, knowledge retrieval and tools into applications for customer support, internal knowledge search and document review. You can run the platform on your own server through Docker or use the vendor's 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.

Cognee gives AI agents persistent memory across sessions, connecting documents, code, and conversations in a searchable knowledge graph. It's for developers who want agents to retain project context and teams whose knowledge sits across tickets, discussions, and repositories. The Python package is open source under Apache 2.0.

Argilla is an open-source data annotation and feedback tool for AI engineers and domain experts who build training and evaluation datasets. You can run your own Argilla server or deploy it on Hugging Face Spaces. It's licensed under Apache 2.0.

MaxKB is a self-hosted AI agent platform for organizations building customer support bots, internal knowledge assistants and business automation. It combines answers grounded in company documents with workflows that can call functions and MCP tools. You can run it on your own server through Docker and use it through a browser.

BGE Embeddings is a family of embedding models and rerankers for developers building semantic search and retrieval-augmented generation (RAG). Developed by the Beijing Academy of Artificial Intelligence, it includes the MIT-licensed Python toolkit FlagEmbedding for running inference, evaluating retrieval and fine-tuning models.

PaperQA2 is an open source Python research assistant for people who need answers grounded in a collection of scientific papers. It searches documents on your machine and writes answers with in-text citations, including page references. Researchers can use it to summarize findings or check for contradictions across papers, while developers can build it into their own research tools.

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.

ParadeDB adds full-text, vector and hybrid search to the Postgres database that holds your application data. It's for developers who need search and analytics without maintaining a separate Elasticsearch cluster or synchronizing a second copy of their data. It runs as the pg_search extension in self-managed Postgres, including local Docker deployments.

pgvector adds vector storage and similarity search to Postgres, so developers can keep embeddings alongside application records in a self-hosted database. It suits applications that need to find similar items while retaining SQL queries, joins and transactional guarantees. It runs on Linux, macOS and Windows, with Docker also supported.

FastEmbed is a Python library that generates embeddings on your own hardware for semantic search and retrieval-augmented generation (RAG). It's for developers who need to turn text into searchable vectors without relying on a cloud embedding API. It can run on a CPU or use GPU acceleration, and its Apache 2.0 license makes it open source.

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.

Sentence Transformers is an open-source Python library for developers building semantic search and document retrieval on their own hardware. It runs embedding and reranker models locally, turning content into numerical representations for similarity comparisons and scoring results against a query. The library uses the Apache 2.0 license.

Khoj is an AI assistant for people who want to ask questions across their own files, research the web, and give recurring work to agents. You can self-host it on your computer or server, or use Khoj's cloud app. It's open source under the GNU AGPL v3.0 license.

PixlStash is an open-source image manager for photographers, AI creators and people curating image datasets. It combines library search with tools for reviewing tags, ranking images and sending selected work through ComfyUI. You can use a desktop app or a self-hosted server with a browser interface.