Vector Database for RAG & Semantic Search
Chunk, embed, stored and retrieved documents, posts, and images in a fast, scalable, performant and cost-efficient manner. Build Retrieval Augmented Generation (RAG) applications by combining Vector Store with LLM APIs. Add new documents to the vector store instantly or at scheduled intervals, ensuring it remains continually updated.
For enterprises
Overview
The Abacus.AI solution can support any nearest neighbor algorithm, incorporates state-of-the-art efficiency techniques and can deliver 100% recall. It is the ONLY solution of its kind in the industry. Leverage vector store for ad-targeting, personalization, image classification or LLM based applications.
- Easy and intuitive to set and use
- Enterprise-grade security
- Highly performant, scalable, fast and cost-efficient
Pricing
| POD TYPE | PRICE/POD-HOUR | CAPACITY | OPTIMIZED FOR |
|---|---|---|---|
| Storage optimized Pod | $0.10 | Upto 5M Vectors | Infrequent retrieval of large data sets |
| Performance optimized Pod | $0.10 | Upto 1M Vectors | Frequent retrieval of smaller data sets |
The capacity can be scaled horizontally by adding more pods
How It Works
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PERFORM EFFICIENT SEARCHES ON VECTOR EMBEDDINGS -
BUILD SOPHISTICATED DEEP LEARNING MODELS
Benefits
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Enterprise Ready
Abacus.AI vector store provides enterprise grade security, governance, compliance and high availability.
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Large Scale With SLAs For Throughput and Latency
Abacus.AI vector store can work on datasets that have more than 1Bn+ vectors and deliver predictions under 150ms.
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Highly Accurate
Vector Store is best in class and generates predictions with extremely high accuracy.
