RAG Implementation with Vector Databases

Completed a RAG agent with multiple vector DBs:

Architecture:
- Document Ingestion Agent
- Embedding Agent
- Retrieval Agent
- Generation Agent
- Quality Agent

Compared Pinecone, Weaviate, Chroma, and Qdrant. Happy to share details!

Excellent architecture! How do you handle:

1. Embedding drift when models update?
2. Chunk overlap strategies?
3. Metadata filtering performance?

We use a similar setup but added a Reranking Agent with Cohere's rerank API. Improved relevance by 23%.

Vector DB comparison is spot on! Here's my updated benchmark:

Pinecone: Best latency (30ms)
Weaviate: Best hybrid search
Chroma: Best for local dev
Qdrant: Best for self-hosting

Pro tip: Use HNSW indexing for 90%+ use cases.