Transfer data from Apify Actors to Amazon OpenSearch Service. This Actor is a good starting point for building question-answering systems, search functionality, or Retrieval-Augmented Generation (RAG) use cases.

Apify

4.4

Pinecone Integration

apify/pinecone-integration

This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.

Apify

470

3.2

Weaviate Integration

apify/weaviate-integration

This integration transfers data from Apify Actors to a Weaviate and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.7

Milvus Integration

apify/milvus-integration

This integration transfers data from Apify Actors to a Milvus/Zilliz database and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.5

RAG Web Browser

apify/rag-web-browser

Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs. Supports Model Context Protocol (MCP).

Apify

5.7K

4.4

Lara Translate MCP Server

mcp-servers/lara-translate-mcp-server

The Lara Translate MCP Server handles translation requests and manages multilingual processing for Lara Translate services.

MCP servers

MCP Deep Web Search

vojtech.kaiser/actor-deep-web-search-mcp

MCP Deep Search Server is a cloud-based tool for advanced research, combining real-time results from Google, Brave, Anthropic, OpenAI, Perplexity, and xAI. Now hosted in the cloud, it offers faster performance with no local installation needed.