add ingestion purpose to space ingest

Author: valeksiev

src/index.ts

@@ -3,10 +3,10 @@ import { AlkemioClient, createConfigUsingEnvVars } from '@alkemio/client-lib';
 
 import Documents, { DocumentType } from './documents';
 import logger from './logger';
-import ingest from './ingest';
+import ingest, { SpaceIngestionPurpose } from './ingest';
 import generateDocument from './generate-document';
 
-export const main = async (spaceId: string) => {
+export const main = async (spaceId: string, purpose: SpaceIngestionPurpose) => {
   logger.info(`Ingest invoked for space ${spaceId}`);
   const config = createConfigUsingEnvVars();
   const alkemioCliClient = new AlkemioClient(config);
@@ -68,7 +68,7 @@ export const main = async (spaceId: string) => {
       );
     }
   }
-  await ingest(space.nameID, documents);
+  await ingest(space.nameID, documents, purpose);
   logger.info('Space ingested.');
 };
 
@@ -83,7 +83,7 @@ export const main = async (spaceId: string) => {
   const connectionString = `amqp://${RABBITMQ_USER}:${RABBITMQ_PASSWORD}@${RABBITMQ_HOST}:${RABBITMQ_PORT}`;
 
   const conn = await amqplib.connect(connectionString);
-  const queue = RABBITMQ_QUEUE ?? 'virtual-contributor-added-to-space';
+  const queue = RABBITMQ_QUEUE ?? 'ingest-space';
 
   const channel = await conn.createChannel();
   await channel.assertQueue(queue);
@@ -94,7 +94,7 @@ export const main = async (spaceId: string) => {
       //maybe share them in a package
       //publish a confifrmation
       const decoded = JSON.parse(JSON.parse(msg.content.toString()));
-      await main(decoded.spaceId);
+      await main(decoded.spaceId, decoded.purpose);
       // add rety mechanism as well
       channel.ack(msg);
     } else {

src/ingest.ts

@@ -1,8 +1,18 @@
 import { ChromaClient } from 'chromadb';
 import Documents from './documents';
 import { OpenAIClient, AzureKeyCredential } from '@azure/openai';
-
-export default async (space: string, docs: Documents) => {
+import { logger } from '@alkemio/client-lib';
+
+export enum SpaceIngestionPurpose {
+  Knowledge = 'kwnowledge',
+  Context = 'context',
+}
+
+export default async (
+  spaceNameID: string,
+  docs: Documents,
+  purpose: SpaceIngestionPurpose
+) => {
   const endpoint = process.env.AZURE_OPENAI_ENDPOINT;
   const key = process.env.AZURE_OPENAI_API_KEY;
   const depolyment = process.env.EMBEDDINGS_DEPLOYMENT_NAME;
@@ -11,10 +21,6 @@ export default async (space: string, docs: Documents) => {
     throw new Error('AI configuration missing from ENV.');
   }
 
-  console.log({
-    path: `http://${process.env.VECTOR_DB_HOST}:${process.env.VECTOR_DB_PORT}`,
-  });
-
   const client = new ChromaClient({
     path: `http://${process.env.VECTOR_DB_HOST}:${process.env.VECTOR_DB_PORT}`,
   });
@@ -27,7 +33,11 @@ export default async (space: string, docs: Documents) => {
   const openAi = new OpenAIClient(endpoint, new AzureKeyCredential(key));
   const { data } = await openAi.getEmbeddings(depolyment, forEmbed.documents);
 
-  const collection = await client.getOrCreateCollection({ name: space });
+  const name = `${spaceNameID}-${purpose}`;
+  logger.info(`Adding to collection ${name}`);
+  const collection = await client.getOrCreateCollection({
+    name,
+  });
 
   await collection.upsert({
     ...forEmbed,