[EPIC] - GraphQL Agent #29
Description
Train a Language Model for Converting Human Queries to GraphQL for Unbody GraphQL Content API
Objective
Train a language model to accurately translate natural language queries into GraphQL queries, in line with our data schemas and syntax used in the Unbody GraphQL endpoint built on Weaviate.
Tasks
- Create a Training Dataset @amirhouieh: Develop a dataset with examples of natural language and corresponding GraphQL queries.
- Model Training @amirhouieh: Train the model for translating human language to GraphQL format.
- Integration @jeangovil: Integrate the trained model with our GraphQL content API.
- Deployment @jeangovil: Deploy the model for operational use.
How It Should Work
- Receive a query in natural language.
- Language model agent generates a GraphQL query.
GraphQL Level Implementation
Implement a new Agent method alongside GET and AGGREGATE methods to translate natural language inputs to structured GraphQL queries.
Examples
Find our financial reports for the last two years
{
Get {
PdfFile(
nearText: {
concepts: ["financial report"]
},
filter: {
operator: GreaterThan,
path: ["metadata.creationDate"],
valueDate: "2020-01-01"
}
) {
title
metadata {
creationDate
}
}
}
}Who is working on the LPE project
{
Get {
NameEntities(
where: {
operator: And
operands: [
{ path: ["type"], operator: Equal, valueString: "person" },
{ path: ["type"], operator: Equal, valueString: "email" },
{ path: ["document.title"], operator: Like, valueString: "LPE project" }
]
}
) {
crossReference {
... on GoogleDoc {
title
}
... on PdfFile {
title
}
... on Markdownfile {
title
}
}
}
TextBlocks(
where: {
path: ["mentions"],
operator: Like,
valueString: "LPE project"
}
) {
mentions
document {
... on GoogleDoc {
title
}
... on PdfFile {
title
}
... on Markdownfile {
title
}
}
}
}
}Summarize my recent emails with Nicole
{
Get {
GmailThread(
nearText: {
concepts: ["emails with Nicole"]
},
filter: {
operator: GreaterThan,
path: ["metadata.creationDate"],
valueDate: "recent_date"
}
) {
content
_additional {
generate(
singleResult: {
prompt: """
Summarize the conversation:
{content}
"""
}
) {
singleResult
}
}
}
}
}When are we going to launch city hall portal
{
Get {
GoogleCalendarEvent(
nearText: {
concepts: ["city hall portal"],
properties: ["title", "description", "attachments"]
}
) {
title
startDate
endDate
_additional {
generate(
singleResult: {
prompt: """
Analyze the event details: {title}, {startDate}, {endDate}.
Answer the question: When are we going to launch the city hall portal?
"""
}
) {
singleResult
}
}
}
}
}