Project Summary

I need help with ingesting a small dataset of real estate property descriptions into a vector database for a proof-of-concept on semantic search capabilities.

Detailed Requirements

We're exploring semantic search for property listings. I need an experienced freelancer to process and ingest a provided dataset of property details into a vector database, preferably Pinecone or Weaviate. The aim is to establish a basic setup for semantic querying. Please reach out so we can discuss the specific data format, vectorization approach, and database access details.

Deliverables

A Python script capable of taking our property data (CSV or JSON) and ingesting it into the chosen vector database. The final deliverable will also include confirmation that the data is correctly indexed and can be queried for basic similarity searches. Let's connect to confirm the exact scope and any specific integration points.

Timeline & Budget

• Expected Timeline: 2 Weeks

• Budget Range: $100 - $250