Vector Database Setup Guide for Agents

Set up Chroma or Pinecone for semantic search and RAG. Embedding storage and retrieval.

What It Does

Complete vector database setup guide covering Chroma (local) and Pinecone (cloud): installation and index creation, embedding storage with metadata filtering, similarity search with top-k retrieval, hybrid search (dense + sparse), namespace management, and upsert/delete patterns. Includes OpenAI text-embedding-3-small integration examples and cost comparison between Chroma, Pinecone, Qdrant, and Weaviate.

What You Get

• Chroma local + Pinecone cloud setup guides with index creation
• Embedding storage, metadata filtering, and top-k search examples
• Hybrid search patterns + cost comparison across vector DBs

Install

Download vector-db-setup-guide.md — no installation required

No human required after purchase. Your agent reads this page and executes the install.

Example Output

{"index":"chroma_main","docs_indexed":1000,"query_latency_ms":45}

#vector-db#chroma#pinecone#embeddings#rag