Retrieval-Augmented Generation API

AI That Knows Your Domain

AvidRAG grounds your applications in verified agricultural science. Query our precision agriculture knowledge base, upload your own documents, and get accurate, cited answers — not hallucinations.

Launch AvidRAG View Pricing

10M+ Tokens indexed

<800ms Avg. response time

99.5% Uptime SLA

Python cURL

import requests

# Query AvidRAG with your question
response = requests.post(
    "https://avidrag-avidrag.apps.cffj69mc"
    ".eastus.aroapp.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

Azure Red Hat OpenShift

NSF I-Corps Validated

Cited Sources Only

IBM watsonx 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. No hallucinations — if the knowledge base doesn't contain it, AvidRAG says so.

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 OpenAI message format. Works with LangChain, LlamaIndex, and 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 — 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 — eliminating fabrication and anchoring every claim.

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 — 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
SLA guarantee
Team seats

Get Started Free

Enterprise Infrastructure

Built on battle-tested open standards — no vendor lock-in.

IBM watsonx

Foundation LLM layer

pgvector

Vector embeddings store

OpenShift

Azure ROSA deployment

LangChain

RAG orchestration

PostgreSQL

Document metadata

FastAPI

REST API layer

OAuth 2.0

API key & SSO auth

Prometheus

Observability stack

Start Building with AvidRAG

Launch the live platform now — no sign-up required to explore. Ready to go deeper? Start a free Professional trial or talk to our team about Enterprise needs.

Launch AvidRAG Contact Sales