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Pinecone Integration

apify/pinecone-integration

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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.

API clients

API endpoints

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

Node.js

Python

curl

1# Set API token
2API_TOKEN=<YOUR_API_TOKEN>
3
4# Prepare Actor input
5cat > input.json <<'EOF'
6{
7  "datasetFields": [
8    "text"
9  ],
10  "deltaUpdatesPrimaryDatasetFields": [
11    "url"
12  ]
13}
14EOF
15
16# Run the Actor using an HTTP API
17# See the full API reference at https://docs.apify.com/api/v2
18curl "https://api.apify.com/v2/acts/apify~pinecone-integration/runs?token=$API_TOKEN" \
19  -X POST \
20  -d @input.json \
21  -H 'Content-Type: application/json'

Developer

Apify

Actor metrics

18 monthly users
3 stars
75.0% runs succeeded
1.3 days response time
Created in Jun 2024
Modified 2 days ago

Categories

Integrations

For creators

WCC Pinecone Integration

tri_angle/wcc-pinecone-integration

Crawl any website and store its content in your Pinecone vector database. Enhance the accuracy and reliability of your own AI Assistant with facts fetched from external sources or connect this integration to our Pinecone GPT Chatbot assistant available in Apify Store.

Tri⟁angle

Pinecone GPT Chatbot

tri_angle/pinecone-gpt-chatbot

Pinecone GPT Chatbot combines OpenAI's GPT models with Pinecone's database to generate insightful responses. Its interactive chatbot interface presents precise and comprehensive answers to user queries. Benefit from semantic understanding, efficient workflows, and enriched knowledge integration!

Tri⟁angle

Website Content Crawler

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.