Pinecone's vector database offers versatile solutions for storing, searching, and analyzing AI representations of data across diverse industry domains.

  

Prior to streamlining operations, it is essential to establish a secure connection with your Pinecone instance. Detailed guidelines for authentication can be accessed through the dedicated [Pinecone authentication page](https://docs.uipath.com/integration-service/automation-cloud/latest/user-guide/uipath-pinecone-pinecone-authentication).

  

Leverage the established connection within UiPath Studio to facilitate the creation of automated workflows seamlessly interacting with your Pinecone dataset.

  

**Note:** The Pinecone connector does not presently accommodate event support and is in its **Preview** phase.

Vector database that can be used to store and search through AI representations of data.

Pinecone is revolutionizing the way businesses utilize data with its advanced vector database capabilities. Integrated seamlessly with automation platforms like UiPath, Pinecone serves as the backbone for dynamic e-commerce recommendation systems, enabling real-time, personalized suggestions that drive sales and enhance customer satisfaction. Its powerful semantic search functionality transforms content management by delivering contextually relevant search results instantly, improving knowledge management and operational efficiency. Moreover, Pinecone's analytical prowess offers unprecedented insights into supply chain optimization, facilitating smarter inventory management, cost reduction, and streamlined logistics. Embrace the future of data with Pinecone's vector database technology.

Pinecone connector is a vector database for cutting-edge e-commerce recommendations, semantic search, and supply chain optimization. Integrate seamlessly with UiPath.

Pinecone Integration

Automation Technical Lead

LLM Powered Custom Activities built using LangChain Framework. These activities build up the core elements to enable **context-aware** and **memory-backed** interaction with your favorite large language models.

  

  

**Host Python Backend using Docker**

  

The following steps portray Docker container running on a local machine. In a production scenario, it’s best to host the API on a proper remote app server.

1.  Download & Install Docker - [https://www.docker.com/products/docker-desktop/](https://www.docker.com/products/docker-desktop/).
2.  Make sure Docker is running by starting up the application. Verify docker is running by checking docker icon in the right icons panel.
3.  Run the following script in command line --&gt; docker run -p 5000:5000 zell12/qblangchainapi:latest.
4.  Verify if http://localhost:5000 is running in the browser, which means the API is running.

  

**Video Walkthrough**

*   00:10 - LLM Framework Activities Overview
*   00:38 - Host Backend API with Docker
*   02:18 - Add Activity Package
*   04:11 - Generate Embeddings API Key
*   05:16 - Create Vector Store
*   11:08 - Configurations via LLM Framework Template
*   11:53 - Memory Reference
*   13:31 - Execute basic setup

Easily build your own Generative AI powered automation using these custom activities powered by LangChain Framework for context-aware, memory-backed and multi-input chain LLM calls

The Pinecone activity package, part of UiPath Integration Service, is designed specifically for integration with Pinecone, a powerful vector database. Pinecone allows you to store and search through AI representations of data efficiently.

### How It Works

After setting up, the connection to the Pinecone instance can be reused in all subsequent child activities.

### Activities

- [Query Embeddings](https://docs.uipath.com/activities/other/latest/integration-service/uipath-pinecone-pinecone-query) - This operation searches the embeddings from an index. It retrieves the ids of the most similar items in an index, along with their similarity scores.
- [Upsert Embeddings](https://docs.uipath.com/activities/other/latest/integration-service/uipath-pinecone-pinecone-vectors-upsert) - This operation writes embeddings (vectors) into an index. If a new value is upserted for an existing vector ID, it overwrites the previous value.

The Pinecone activity package for UiPath Integration Service integrates with Pinecone, a vector database for AI data storage and search.

LLM framework orchestrates template reusability across a wide array of use cases requiring the power of large language models.

  

These use cases generally fall under 3 categories:

*   Conversational (chat-based/context-aware conversations, personal assistants)
*   Transactional (queue based) 
*   Transactional with human in the loop

This template leverages custom Python API built on top of LangChain framework (standard framework for LLM app development).

  

### Quick-Start Samples Included

*   Simple Sequence
*   Sample Implementation: Conversation Mode - Chat With Your Own Data (UiPath Forms + LLM Framework)
*   Sample Implementation: Transaction Mode - Contracts Indemnification Review (Queues + LLM Framework)

  

### Video Walkthrough

*   0:30 - LLM Framework Overview
*   1:18 - Conversational (e.g. Personal Assistants) vs Transactional (e.g. Queue based)
*   3:52 - Framework Custom Activity Components
*   4:47 - Currently Supported LLM Provider/Model
*   6:21 - Framework Activities: Sample Basic Usage
*   13:35 - LLM Framework Template Detailed Walkthrough
*   15:15 - Framework Configuration File
*   20:15 - Framework Pathways
*   22:18 - Custom Interaction Flow Rules/Validations
*   23:38 - Sample Implementation: Conversation Mode
*   29:51 - Solution Architecture
*   33:13 - Sample Implementation: Transaction Mode - Contracts Indemnifcation Review
*   41:06 - HITL Configuration - Enable Persistence
*   41:48 - HITL Configuration - Wait Activity Placeholder
*   47:14 - HITL Action Sample - Contracts Indemification Review
*   48:44 - Sample Implementation: Transaction Mode - Contracts Summarization &        Deliverables Extraction
*   51:54 - HITL Action Sample  - Contracts Summarization & Deliverables Extraction
*   52:48 - Closing Summary

Quickly build your own Generative AI powered automations using this LLM Framework Studio template.

	コンポーネント	アプリ	ダウンロード数
	LLM Framework - Langchain Activities Easily build your own Generative AI powered automation using these custom activities powered by LangChain Framework for context-aware, memory-backed and multi-input chain LLM calls		<100
	Pinecone Activity Package The Pinecone activity package for UiPath Integration Service integrates with Pinecone, a vector database for AI data storage and search.		<100
	LLM Framework for UiPath Studio Quickly build your own Generative AI powered automations using this LLM Framework Studio template.		145

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