Integration Hub

Powerful tools to export data in real-time to build your own custom solution without reiventing the wheel.

High performance at any scale

Embedding lots of files with texts, images, sound, and videos does not have to be slow.

Adapt your complex workflows to load, extract, chunk, and embed thousands of multimodal files with out-of-the-box integrations with Google Dataflow, Google Composer, Google Workflows, Ray on Google Vertex AI, Serverless Modal.com, and more.

WPSolr can exports all files to Amazon AWS S3, Google Cloud Storage, or any S3-Compatible object storage system like MinIO before integration, with asynchronous streams for optimal efficiency.

Messaging systems like Kafka, RabbitMQ, Amazon SQS, or Google Cloud Pub/Sub allow all tasks to be triggered in the most scalable way possible.

Ingestion and indexing are performed on Google Cloud Run or Google Cloud Run Functions, cost-effective and scalable solutions.

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RAG retrieval from vector databases

Use any vector database. Managed or self-hosted.

WPSolr is natively integrated with Weaviate and Vespa.ai.

But you may have your own preference, based on your past experience, your preferred hosting provider, or your price range.

That’s not a problem, as we support all major vector databases on the market. Just tell us which one☝️

Bring your site to life with a custom multi-media ChatBot

Let WPSOLR take charge of your conversations by leveraging AI to respond with your own most relevant content to each of your visitors and customers.

ChatBots will rely only on your internal data to answer from your text, images, voice and videos.

 

RAG for search or agents

ChatBots can be hallucinative, unless they are grounded to your data with RAG.

WPSolr is a recognized specialist in search, with integrations to several AI retrieval engines.

By combining this knowledge with LLMs and Agents, it is possible to mitigate the risks of hallucination.

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Code and no-code agent builders

Master the most complex AI workflows with Agents

Sending a ticket to your CRM, or calling your stock database. All during a chat session.

Chats can be purely informative and answer from your documents.

Or they can bring facts from your database, like a stock level of a product mentioned by the customer.

Or they can act on the absence of relevant information, like transferring the chat to a human when the LLM cannot answer without hallucinating.