Langflow with Upstash Vector

Langflow provides an intuitive, visual interface to design LLM workflows. You can seamlessly integrate Upstash Vector into your Langflow projects to enable vector-based semantic search and context retrieval.

Install#

To get started, install Langflow and Upstash Vector locally or use the Langflow dashboard from DataStax. For local installation, run:

pip install langflow upstash-vector

Usage#

Creating an Upstash Vector Index#

Visit the Upstash Console to create a vector index. To learn more about index creation, you can check out this page.

Adding Upstash Vector to Langflow#

In Langflow, you can integrate Upstash Vector for document indexing and semantic search. Use the following steps:

1. Create a workflow with the File, Split, and Upstash components to process and store documents in the Upstash Vector index.
2. Perform a vector search by connecting the Upstash component to your query input.

Example Workflow#

Enhance your chatbot by combining Langflow’s OpenAI integration with Upstash Vector. Create a RAG workflow to retrieve relevant context from your index and use it to answer user queries.

Learn More#

For a detailed guide on building a RAG chatbot with Langflow and Upstash Vector, check out this blog post.