AI that knows your world,
not just the world.
Large language models are powerful — but they don't know your documents, your research, or your business. Fetchlake gives you a private, structured knowledge layer that any AI tool can plug into.
See Fetchlake in action
Watch how teams build queryable knowledge bases and connect them to their workflows.
Use cases
See how teams use Fetchlake
“My research is scattered across hundreds of papers and transcripts — I can never find what I need when I need it.”
Researchers spend more time hunting for evidence than using it. Manually searching across journal articles, reports, datasets, and interview transcripts slows down every project.
With Fetchlake, you build a queryable collection from your documents and qualitative data. Your AI tools can retrieve evidence, surface citations, analyse interview transcripts, and support literature reviews on demand — grounded in your own curated sources.
Used in
Query your knowledge
in minutes
Connect your knowledge collections to applications, internal assistants, and AI systems with a simple API call. Switch between research, policy, and operational use cases to see grounded answers returned from your documents.
- Works across research, policy, and internal operationsConnect any document collection to any application or assistant.
- Returns answers grounded in your filesResponses cite specific documents with section and page references.
- Supports API and MCP integrationsUse REST APIs or MCP to connect to internal tools, bots, and workflows.
See how one API works across different knowledge collections
import requests
response = requests.post(
"https://api.fetchlake.ai/v1/query",
headers={
"Authorization": "Bearer FETCHLAKE_API_KEY",
"Content-Type": "application/json",
},
json={
"collection": "mtss-research",
"query": "What interventions improve school attendance?",
"top_k": 5
}
)
print(response.json())Grounded answers returned from your knowledge collection.
Simple pricing, no surprises
Start free and scale as your knowledge collections grow.
Trial
$0
Explore Ardie with a limited test environment
- ✓1 knowledge collection
- ✓100 test queries (one-time)
- ✓500 MB storage
Starter
$15/ mo
For individuals building knowledge collections
- ✓3 knowledge collections
- ✓5,000 queries / month
- ✓5 GB storage
Plus
$29/ mo
For serious users working with larger datasets
- ✓5 knowledge collections
- ✓10,000 queries / month
- ✓10 GB storage
MOST POPULAR
Pro
$45/ mo
For professionals sharing knowledge systems
- ✓10 knowledge collections
- ✓15,000 queries / month
- ✓20 GB storage
Scale
$99/ mo
For teams running knowledge at scale
- ✓25 knowledge collections
- ✓25,000 queries / month
- ✓50 GB storage