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hamza.alwan/website-content-vector-retriever
Rating
0.0
(0)
Developer
Hamza Alwan
Actor stats
5
Bookmarked
26
Total users
0
Monthly active users
2 years ago
Last modified
Categories
AI
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jiri.spilka/openai-vector-store-integration
This integration uploads data from Apify Actors to the OpenAI Vector Store linked to OpenAI Assistant.
Jiří Spilka
210
4.8
mrahil/my-actor
It is website extractor
Mohammed Rahil
134
tomas.nosek/intercom-conversation-retriever
Retrieve Intercom conversations for contacts based on any field criteria
Tomas Nosek
1
datascoutapi/website-content-crawler-pro
Crawl websites and extract clean, structured content in Markdown, JSON, or plain text for AI models, LLMs, vector DBs, or RAG pipelines. Fast, reliable, and stealthy, with bulk processing, advanced metadata extraction, and seamless integration with LangChain, LlamaIndex, and AI workflows.
halam
218
5.0
ruv/self-learning-postgres-db
Self-learning vector database with GNN-powered index optimization. Features: vector search, RAG queries, embeddings, clustering, deduplication, batch ops, and data import/export. Scales with Raft consensus.
Reuven Cohen
2
apify/website-content-crawler
Crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines. The Actor supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.
Apify
91K
4.5
6sigmag/fast-website-content-crawler
A high-performance web scraper that rapidly extracts and analyzes content from multiple websites simultaneously. Perfect for competitive research, content aggregation, and website structure analysis.
David Deng
2.7K
4.3
trim_flag/tsboi-index
Indexing for LLMs. This application crawls specified websites, processes their content into a searchable vector database, and enables users to ask natural language questions about the content.
Ikenna Chidoka
tri_angle/product-matching-vectorizer
Builds a FAISS vector database from products in an Apify dataset using an ONNX embedding model. The resulting index is saved to a Key-Value Store for fast similarity search. After uploading your dataset to the vector database, use our E-commerce Product Matching Tool to find matching products.
Tri⟁angle
gratenes/threads-media-and-metadata-retriever
An api for gathering media and metadata from any Threads url, supports threads.com and threads.net.
C
15