Searxng
searxng
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
OPENAGENTSKILL / DIRECTORY
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Results: 15
searxng
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
swirlai
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
oramasearch
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
typesense
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building de…
neuml
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
quickwit-oss
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
apache
Apache Solr open-source search software
vespa-engine
The AI search platform
firecrawl
The API to search, scrape, and interact with the web at scale. 🔥
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
genkit-ai
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
pathwaycom
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, Pos…
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
run-llama
Data framework for building RAG and knowledge workflows around agent tasks.
inkeep
Beautiful, AI-native markdown editor and LLM Wiki