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Add embedding support for message.content which is string/object array type #3045

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Add embedding support for message.content which is string/object array type #3045

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21 changes: 20 additions & 1 deletion server/models/workspaceChats.js
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Original file line number Diff line number Diff line change
Expand Up @@ -11,10 +11,29 @@ const WorkspaceChats = {
apiSessionId = null,
}) {
try {
let promptString;
if (typeof prompt === "string" || prompt instanceof String) {
promptString = prompt;
} else if (Array.isArray(prompt)) {
promptString = prompt
.map((x) => {
if (typeof x.text === "string" || x.text instanceof String) {
return x.text;
} else if (typeof x === "string" || x instanceof String) {
return x;
} else {
return JSON.stringify(x);
}
})
.join("\n\n");
} else {
promptString = JSON.stringify(prompt);
}

const chat = await prisma.workspace_chats.create({
data: {
workspaceId,
prompt,
prompt: promptString,
response: JSON.stringify(response),
user_id: user?.id || null,
thread_id: threadId,
Expand Down
21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/astra/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -268,7 +268,26 @@ const AstraDB = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client,
namespace,
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21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/chroma/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -355,7 +355,26 @@ const Chroma = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client,
namespace,
Expand Down
23 changes: 21 additions & 2 deletions server/utils/vectorDbProviders/lance/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -400,12 +400,31 @@ const LanceDb = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const result = rerank
? await this.rerankedSimilarityResponse({
client,
namespace,
query: input,
query: textInput,
queryVector,
similarityThreshold,
topN,
Expand Down
21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/milvus/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -311,7 +311,26 @@ const Milvus = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client,
namespace,
Expand Down
21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/pinecone/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -253,7 +253,26 @@ const PineconeDB = {
"Invalid namespace - has it been collected and populated yet?"
);

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client: pineconeIndex,
namespace,
Expand Down
21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/qdrant/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -336,7 +336,26 @@ const QDrant = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client,
namespace,
Expand Down
21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/weaviate/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -380,7 +380,26 @@ const Weaviate = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client,
namespace,
Expand Down
21 changes: 20 additions & 1 deletion server/utils/vectorDbProviders/zilliz/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -304,7 +304,26 @@ const Zilliz = {
};
}

const queryVector = await LLMConnector.embedTextInput(input);
let textInput = "";
if (typeof input === "string" || input instanceof String) {
textInput = input;
} else if (Array.isArray(input)) {
textInput = [];
for (const x of input) {
if (typeof x.text === "string" || x.text instanceof String) {
textInput.push(x.text);
} else if (typeof x === "string" || x instanceof String) {
textInput.push(x);
}
}
} else {
return {
contextTexts: [],
sources: [],
message: "Invalid query - the type of input is not string or array !",
};
}
const queryVector = await LLMConnector.embedTextInput(textInput);
const { contextTexts, sourceDocuments } = await this.similarityResponse({
client,
namespace,
Expand Down