Livestream June 11: Build Smarter AI Apps for Finance with Agents and RAG
Chat with your data to create queries, code, databases, and even Langflow flows using a natural language interface with GitHub Copilot.
Build, test, and deploy RAG-powered AI applications with Genkit and Astra DB
Seamlessly connect your DataStax Astra data with Glean to enable advanced search and insights.
Store and retrieve vectors for ML applications by integrating LangChain with Astra DB.
A comprehensive framework for generative AI and RAG orchestration and data management.
Data ingestion just got a lot easier with Unstructured, Langflow, and Astra DB.
Infrastructure management just got a lot easier with Terraform by HashiCorp and Astra DB.
Search and analyze data based on its true meaning with vector embeddings, increasing effectiveness for tasks like semantic search and text comparison.
Save time and effort with pre-trained vector embedding models, offering strong accuracy for natural language processing tasks and GenAI apps.
Understand complex meaning in text with open-source vector embedding models, which handle long documents and support multiple languages.
Transform text into meaningful formats with vector embeddings, ideal for real-time applications that demand fast retrieval.
Generate vector embeddings directly from your database with 20x performance at 80% lower cost, simplifying the embedding process.
Capture intricate relationships in your content with vector embeddings—ideal for tasks like search and recommendation systems.
Automate tasks that require high efficiency and accuracy, such as information retrieval and question answering, with embedding models.
Enhance retrieval accuracy and reduce errors in generated responses with vector embeddings—including options from industry-specific models.
Langflow is a low-code tool for developers that makes it easier to build powerful AI workflows that can use any API, model, or database.
