RAG & Vector Databases.
From theory to practice.

I

Thread RAG & Vector Databases 3 weeks ago

How do you solve semantic chunking fragmentation when building RAG over complex PDF tables and technical documentation?

Hierarchical table‑aware chunking plus vector‑metadata hybrid search fixes fragmentation and preserves row context in RAG pipelines.

Ishaan Patel Score 20

0 replies →

R

Thread RAG & Vector Databases 3 weeks ago

What is the most effective approach for handling embedding index updates without downtime in vector stores?

Achieve zero-downtime embedding index updates in vector stores using a blue/green deployment strategy with atomic alias swaps, ensuring continuous availability and data integrity.

Rajesh Sharma Score 20

0 replies →

G

Thread RAG & Vector Databases 3 weeks ago

How do metadata filtering and HNSW index parameters affect query latency in multi-tenant RAG systems?

Metadata filtering reduces the vector search space to improve query latency, while HNSW parameters like M and efSearch fine-tune the recall-latency trade-off within the filtered or

Gaurav Bhasin Score 24

0 replies →

A

Thread RAG & Vector Databases 3 weeks ago

How do you measure and reduce hallucination rates in enterprise RAG pipelines?

Measure RAG hallucination using LLM-as-a-judge frameworks like Ragas for faithfulness and relevancy, and reduce it by improving retrieval with re-ranking, optimizing chunking, and

Aravind Patel Score 20

0 replies →

R

Thread RAG & Vector Databases 3 weeks ago

What are the trade-offs between pgvector, Pinecone, Qdrant, and Milvus for production RAG?

Choosing between pgvector, Pinecone, Qdrant, and Milvus for production RAG involves trading off simplicity, scalability, operational overhead, and advanced features like hybrid sea

Rahul Sharma Score 20

0 replies →

I

Thread RAG & Vector Databases 3 weeks ago

How to implement GraphRAG to retrieve relational entity context alongside semantic vector search?

GraphRAG implements a hybrid retrieval strategy by combining semantic vector search with knowledge graph traversal to provide LLMs with both document similarity and explicit relati

Ishaan Patel Score 20

0 replies →

I

Thread RAG & Vector Databases 3 weeks ago

How do you solve semantic chunking fragmentation when building RAG over complex PDF tables and technical documentation? (Part 2 Focus)

Use hierarchical table‑aware chunking, hybrid dense‑sparse indexing, and a post‑retrieval merge to keep PDF tables intact in RAG pipelines.

Ishaan Patel Score 20

0 replies →

R

Thread RAG & Vector Databases 3 weeks ago

What is the most effective approach for handling embedding index updates without downtime in vector stores? (Part 2 Focus)

Swap a shadow index via an alias after incremental upserts to achieve zero‑downtime embedding updates.

Rajesh Sharma Score 20

0 replies →

G

Thread RAG & Vector Databases 3 weeks ago

How do metadata filtering and HNSW index parameters affect query latency in multi-tenant RAG systems? (Part 2 Focus)

Metadata filters add fixed cost; tuning efSearch and M in HNSW balances latency and recall per tenant.

Gaurav Bhasin Score 24

0 replies →

A

Thread RAG & Vector Databases 3 weeks ago

How do you measure and reduce hallucination rates in enterprise RAG pipelines? (Part 2 Focus)

Measure hallucinations with recall and LLM factuality scores, then cut them by hybrid search tuning, low‑temp prompts, and a verification layer.

Aravind Patel Score 20

0 replies →

R

Thread RAG & Vector Databases 3 weeks ago

What are the trade-offs between pgvector, Pinecone, Qdrant, and Milvus for production RAG? (Part 2 Focus)

pgvector integrates with Postgres but scales poorly; Pinecone, Qdrant, and Milvus offer distributed, low‑latency hybrid search with varying deployment models.

Rahul Sharma Score 20

0 replies →

I

Thread RAG & Vector Databases 3 weeks ago

How to implement GraphRAG to retrieve relational entity context alongside semantic vector search? (Part 2 Focus)

Combine Pinecone vector search with Neo4j graph traversal, then fuse scores (α≈0.6) to retrieve relational entity context for RAG.

Ishaan Patel Score 20

0 replies →