Intelligent storage that automatically adds AI capabilities to your data. Perfect for building AI-powered applications.
Start for free with 2 million tokens and 10GB of storage per month.
Three simple steps to leverage the power of AI with your data
import Raindrop from '@liquidmetal-ai/lm-raindrop';
const client = new Raindrop({
apiKey: process.env['RAINDROP_API_KEY'],
});
async function main() {
const response = await client.object.upload('key', {
bucket: 'bucket',
body: fs.createReadStream('path/to/file'),
});
console.log(response.bucket);
}
main();import os
from lm_raindrop import Raindrop
client = Raindrop(
api_key=os.environ.get("RAINDROP_API_KEY"),
)
response = client.object.upload(
key="key",
bucket="bucket",
body=b'raw file contents',
)
print(response.bucket)package main
import (
"bytes"
"context"
"fmt"
"io"
"github.com/LiquidMetal-AI/raindrop-go-sdk"
"github.com/LiquidMetal-AI/raindrop-go-sdk/option"
)
func main() {
client := raindrop.NewClient(
option.WithAPIKey("My API Key"),
)
response, err := client.Object.Upload(
context.TODO(),
"bucket",
"key",
raindrop.ObjectUploadParams{
Body: io.Reader(bytes.NewBuffer([]byte("some file contents"))),
},
)
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", response.Bucket)
}package com.raindrop.api.example;
import com.raindrop.api.client.RaindropClient;
import com.raindrop.api.client.okhttp.RaindropOkHttpClient;
import com.raindrop.api.models.object_.ObjectUploadParams;
import com.raindrop.api.models.object_.ObjectUploadResponse;
public final class Main {
private Main() }
public static void main(String[] args) {
// Configures using the `RAINDROP_API_KEY` environment variable
RaindropClient client = RaindropOkHttpClient.fromEnv();
ObjectUploadParams params = ObjectUploadParams.builder()
.bucket("bucket")
.key("key")
.body("some content")
.build();
ObjectUploadResponse response = client.object_().upload(params);
}
}# Upload a file to a bucket
npx raindrop object put ./myfile.txt my-key --bucket my-bucket
# Upload with specific content type
npx raindrop object put ./myfile.json my-key --bucket my-bucket --content-type application/jsonUpload any of the following file types. Our system automatically handles file processing and secure storage.
Analyzing file complete
Extracting content complete
Building search index complete
Our AI system automatically processes your content, generating embeddings and building semantic relationships for powerful search capabilities.
Images are automatically transcribed in natural language and entities are extracted.
import Raindrop from '@liquidmetal-ai/lm-raindrop';
const client = new Raindrop({
apiKey: process.env['RAINDROP_API_KEY'],
});
async function main() {
const searchResponse = await client.search.perform({ input: 'input', request_id: 'request_id' });
console.log(searchResponse.pagination);
}
main();import os
from lm_raindrop import Raindrop
client = Raindrop(
api_key=os.environ.get("RAINDROP_API_KEY"),
)
search_response = client.search.perform(
input="input",
request_id="request_id",
)
print(search_response.pagination)package main
import (
"context"
"fmt"
"github.com/LiquidMetal-AI/raindrop-go-sdk"
"github.com/LiquidMetal-AI/raindrop-go-sdk/option"
)
func main() {
client := raindrop.NewClient(
option.WithAPIKey("My API Key"), // defaults to os.LookupEnv("RAINDROP_API_KEY")
)
searchResponse, err := client.Search.Perform(context.TODO(), raindrop.SearchPerformParams{
Input: raindrop.F("input"),
RequestID: raindrop.F("request_id"),
})
if err != nil {
panic(err.Error())
}
fmt.Printf("%+v\n", searchResponse.Pagination)
}package com.raindrop.api.example;
import com.raindrop.api.client.RaindropClient;
import com.raindrop.api.client.okhttp.RaindropOkHttpClient;
import com.raindrop.api.models.search.SearchPerformParams;
import com.raindrop.api.models.search.SearchResponse;
public final class Main {
private Main() }
public static void main(String[] args) {
// Configures using the `RAINDROP_API_KEY` environment variable
RaindropClient client = RaindropOkHttpClient.fromEnv();
SearchPerformParams params = SearchPerformParams.builder()
.input("input")
.requestId("request_id")
.build();
SearchResponse searchResponse = client.search().perform(params);
}
}# Run a new search query
npx raindrop query search "Find documents about revenue in Q4 2023"
# Get paginated results using request ID
npx raindrop query search --requestId 01HNG4V2RJXS5T --page 2Unlock Your Data, start building with it.
Provides advanced search across all document types stored in Smart Buckets. Supports recursive object search within objects, enabling nested content search.
Enables natural conversational interactions with documents stored in Smart Buckets. This endpoint allows users to ask questions, request summaries, and explore document content.
Serves as a complete drop-in replacement for traditional RAG pipelines. This system enables AI agents to leverage private data stored in Smart Buckets with zero additional configuration.
Our intelligent storage solution combines with powerful search capabilities to unlock insights across all your data
Query data using everyday language instead of complex syntax. Our AI understands context, concepts, and intent.
Seamlessly search across text, images, and audio with a single query. Our AI understands the content of each medium.
Automatically identify sensitive information like credit card numbers, SSNs, and personal data across all your content.
Find information hidden within complex documents, including text in images, tables in PDFs, and entities in scanned documents.
Companies across diverse industries rely on LiquidMetal's technology to power their AI solutions
"LiquidMetal AI's expertise was invaluable in creating our personalized product recommender. They helped us overcome technical challenges, navigate complex data regulations, and deliver a seamless user experience. With their support, we've successfully expanded into new markets and seen significant growth in our business."
CEO at Genetica
"With LiquidMetal AI's expertise in Large Language Models (LLMs) and state-of-the-art Retrieval-Augmented Generation (RAG), we created a chatbot to greatly enhance rural access to vital agricultural information in Kenya. As a result, farmers, extension officers, and agency officials could access previously inaccessible technical information, leading to improved practices and increased yields"
Founder at Northrift
"LiquidMetal AI was instrumental in evolving COMMB's latest project, OOH-GPT v2, set to launch June 27 of this year, by allowing COMMB's extensive library of Out-of-Home industry documents into the chatbot. This solution will significantly enhance how our members access critical information, fostering a more informed and engaged community within the Canadian OOH industry"
Head of Data Science at COMMB
"With LiquidMetal AI's expertise in Large Language Models (LLMs) and state-of-the-art Retrieval-Augmented Generation (RAG), we created a chatbot to greatly enhance rural access to vital agricultural information in Kenya. As a result, farmers, extension officers, and agency officials could access previously inaccessible technical information, leading to improved practices and increased yields"
Founder at Northrift
"LiquidMetal AI's expertise was invaluable in creating our personalized product recommender. They helped us overcome technical challenges, navigate complex data regulations, and deliver a seamless user experience. With their support, we've successfully expanded into new markets and seen significant growth in our business."
CEO at Genetica
"LiquidMetal AI was instrumental in evolving COMMB's latest project, OOH-GPT v2, set to launch June 27 of this year, by allowing COMMB's extensive library of Out-of-Home industry documents into the chatbot. This solution will significantly enhance how our members access critical information, fostering a more informed and engaged community within the Canadian OOH industry"
Head of Data Science at COMMB
Our mission is backed by premier venture capital firms known for funding transformative technology companies
