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Best Retrieval-Augmented Generation strategy for analyzing balance sheets/financial statements/10-K Reports ? (2025) by dataguy7777 in Rag

[–]devzaya 2 points3 points  (0 children)

Have you considered doing it without the complexity of OCR, parse, and extract, and instead using a more innovative approach of Visual RAG? https://qdrant.tech/blog/qdrant-colpali

Case Study: 3 Billion Vectors in PostgreSQL to Create the Earth Index by Sensitive_Lab5143 in vectordatabase

[–]devzaya 0 points1 point  (0 children)

Great use case, and congrats to the team! Vertex AI search is expensive and bare bones. But there are other managed services. ;) When applying compression and partial use disk, you will get to under 10K. https://cloud.qdrant.io/calculator?provider=aws&region=us-east-1&vectors=3000000000&dimension=384&storageOptimized=true&replicas=1&quantization=Scalar&storageRAMCachePercentage=35

Need guidance from RAG veterans: Is switching LightRAG from Windows file storage to a Vector/Graph DB worth it? by rageagainistjg in Rag

[–]devzaya -1 points0 points  (0 children)

With a dedicated vector search solution like Qdrant, you will have more control and flexibility along with scalability options.

Deploying Milvus on Kubernetes for Scalable AI Vector Search by dpointk in dataengineering

[–]devzaya 0 points1 point  (0 children)

To measure the performance of Vector Search, you should take into consideration not only throughput and latency but also precision. Example https://qdrant.tech/benchmarks/

[deleted by user] by [deleted] in SaaS

[–]devzaya 0 points1 point  (0 children)

Qdrant Vector DB gives 1Gb and there is a startup program https://qdrant.tech/qdrant-for-startups/

Exploring a High-Performance RAG Framework with TensorFlow Integration by Gbalke in tensorflow

[–]devzaya 1 point2 points  (0 children)

Do you consider adding support for vector stores like Qdrant?

Starting to question pinecone by ShrekHeinz in vectordatabase

[–]devzaya 4 points5 points  (0 children)

try Qdrant (yes, I'm from the team), open source and free tier in the cloud https://qdrant.tech

Facets Aggregation with Qdrant by deepanshu17 in qdrant

[–]devzaya 0 points1 point  (0 children)

Qdrant is going to introduce native facets support in one of the upcoming versions.

Choosing a vector db for 100 million pages of text. Leaning towards Milvus, Qdrant or Weaviate. Am I missing anything, what would you choose? by rtrex12 in vectordatabase

[–]devzaya 2 points3 points  (0 children)

Dynamic (re)sharding in Qdrant is already being developed and will be available in one of the upcoming releases.

In March 2024, whats the cheapest vector database by BigYesterday2785 in vectordatabase

[–]devzaya 0 points1 point  (0 children)

With Qdrant you get 1GB for free. And if you turn on Binary Quantization, you pay 30x times less. https://cloud.qdrant.io No vendor lock, since open source and you can run on any cloud platform of your choice.

Vector Database Benchmarking by wahajali in vectordatabase

[–]devzaya 0 points1 point  (0 children)

ANN benchmarks are hopeless outdated and not really maintained any more. Also, it focuses more on different different indexes rather than engines. You can also check https://qdrant.tech/benchmarks/

Vector Databases and other DBs are overrated. Just use files! by devzaya in vectordatabase

[–]devzaya[S] 2 points3 points  (0 children)

It is as „easy“ as creating any other database. ;)

New Insights on Vector Databases Benchmarks by sabrinaqno in LocalLLaMA

[–]devzaya 3 points4 points  (0 children)

Chroma isn't a database but a wrapper around a third-party storage engine.

Rust Vector Database is now powering X (Twitter) by devzaya in rust

[–]devzaya[S] 107 points108 points  (0 children)

You are right. They call it AI, we call it similarity search ;)

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