Cloud-Native Knowledge-Base Infrastructure

Knowledge Bases for Energy, Land & Agriculture

AvidRAG is cloud-native retrieval infrastructure for energy, natural resources, and agriculture — an enterprise-grade managed knowledge-base layer. Ground any model in verified domain data or your own documents, with an inline citation for every claim so you can check the source yourself.

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10M+ Tokens indexed

<800ms Avg. response time

99.5% Uptime target

Python cURL

import requests

# Query AvidRAG with your question
response = requests.post(
    "https://{your-endpoint}.avidrag.io/api/query",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    },
    json={
        "query": "Optimal N application timing for corn at V6?",
        "top_k": 5,
        "include_citations": True
    }
)
                

"answer": "Side-dress nitrogen at V4–V6 when soil is workable. Research shows 150–180 lbs N/acre for 120 bu/acre yield goal, split applications reduce leaching risk by up to 22%...", "citations": ["USDA NRCS 2023", "ISU Extension AG-201"]

SOC 2 Type II Ready

Cloud-Native Platform

NSF I-Corps Validated

Cited Sources Only

Enterprise AI Powered

Platform Features

RAG Built for Agriculture, Ready for Enterprise

More than a chat interface. A composable AI layer you can embed in any application.

Semantic Retrieval

Vector search across 10M+ tokens of peer-reviewed agricultural literature, USDA publications, and Avid Solutions proprietary research.

Grounded, Cited Answers

Every response includes inline source citations. If the knowledge base does not contain an answer, AvidRAG returns no answer rather than guessing.

Bring Your Own Docs

Upload field reports, lab results, and operational manuals. AvidRAG indexes and merges your private corpus with the shared knowledge base.

REST API & Webhooks

Drop-in REST endpoints compatible with standard chat-completion formats. Works with any RAG orchestration framework.

Multi-Corpus Routing

Route queries to specialized sub-corpora: soil science, pest management, vermiculture, equipment manuals, or your custom collections.

Usage Analytics

Real-time dashboards showing query volume, token usage, top topics, cache hit rates, and cost breakdowns per team or project.

How It Works

From Question to Cited Answer in Four Steps

AvidRAG handles the full retrieval-augmentation pipeline, so you just send a query.

Submit Query

Send a natural-language question via REST API, web app, or embedded widget.

Retrieve Context

Semantic vector search surfaces the most relevant passages from the knowledge base.

Augment & Generate

Retrieved passages ground the LLM response, constraining it to your source material and anchoring every claim to a citation.

Return with Citations

A structured JSON response delivers the answer, source documents, confidence score, and token usage.

Pricing

Simple, Usage-Based Pricing

Start for free. Scale as you grow. No hidden fees. You pay only for what you use.

Starter

$0/ month

Explore AvidRAG with no commitment. Ideal for developers evaluating the platform.

500 queries / month
Shared agricultural corpus
Standard REST API access
5 MB document uploads
Community support
Custom corpora
Contracted SLA
Team seats

Request Access

Enterprise Infrastructure

Built on widely adopted open standards, so your data and prompts stay portable.

Enterprise AI

Foundation model layer

Vector Store

Vector embeddings

Managed Cloud

Container deployment

RAG Orchestration

Orchestration framework

SQL Database

Document metadata

REST API

API layer

Secure Auth

API key & SSO auth

Observability

Metrics & monitoring

Start Building with AvidRAG

Tell us what your corpus looks like and what you need to query. We will scope an endpoint and get you a key.

Contact Sales