No-code, multi-agent, multi-LLM generative AI orchestration platform for Corporate Knowledge Bases, Databases, Ticket Systems, Messaging Platforms, Cloud Storage Drives, Webpages, Virtual Agents, and more - with your choice of Large Language Model (LLM)
NeuralSeek provides the tools users need to gain visible proof, enterprise observability, and control over LLM performance, while mitigating the risk of LLM hallucination, misinformation, and Personal Identifiable Information (PII) loss. 'Point and click' Governance and Guardrails - allowing users to see Provenance, Coverage and Confidence Scores, and Semantic Analytics with every Retrieval Augmented Generation (RAG) output. Finite details such as real-time updates on LLM token usage, the cost to operate LLMs, and ability to cost compare LLMs are also provided. Multi-agent / LLM orchestration too - build and manage multiple agentic generative AI solutions from a single platform, assign LLMs to agents, string together multiple LLMs, and switch out LLMs for solution optimization and cost savings - all 'out of the box'. NeuralSeek empowers users to build, test, and scale their generative AI use cases / solutions in production 80-90% faster than building from scratch.
Highlights
Multi-agent / LLM orchestration - build and manage multiple agentic generative AI solutions from a single platform
mAIstro - fully customized RAG prompt generation space, create and run dynamic generative AI prompts against your own data, no code required
Tools users need to gain visible proof, enterprise observability, and control over LLM performance, while mitigating the risk of LLM hallucination, misinformation, and sensitive data loss - all 'out of the box'
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses usage-based pricing with two separate metrics. You pay per Instance-Hour, which bills for the time the software runs. You also pay per Seek Request, which bills for each query the software processes. These two dimensions work together rather than as tiers you choose between. Your cost scales with both how long you run the software and how many requests you send. You bring your own Large Language Model to use with the service. There is no upfront commitment; charges track your actual usage.
Top-of-mind questions for buyers
What counts as one Seek Request for billing?
A Seek Request is one query the software processes against your knowledge base. Each user question sent to the service counts as a single request. The software returns a fact-checkable answer drawn from your corporate knowledge base for each request you make.
Am I charged for Instance-Hours when the software is idle or stopped?
The Instance-Hour metric bills for the time the software runs. Time when the instance is stopped does not accrue Instance-Hour charges. Seek Requests bill separately based on the queries you send, so an idle instance with no queries adds no request charges.
How do Instance-Hour and Seek Request charges combine on my bill?
Both charges bill independently and appear together. Instance-Hour charges track runtime regardless of query volume. Seek Request charges track query count regardless of runtime. Instance-Hour costs tend to dominate for long-running deployments, while Seek Requests grow with heavy query traffic. Both accrue at the same time.
documentation.neuralseek.com
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If NeuralSeek does not work for you during a short trial, we will refund your usage cost.
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