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282 return relevancy score with similarityresponse (#304)
* include score value in similarityResponse for weaviate * include score value in si milarityResponse for qdrant * include score value in si milarityResponse for pinecone * include score value in similarityResponse for chroma * include score value in similarityResponse for lancedb * distance to similarity --------- Co-authored-by: timothycarambat <rambat1010@gmail.com>
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@ -49,6 +49,12 @@ const Chroma = {
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}
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return totalVectors;
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},
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distanceToSimilarity: function (distance = null) {
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if (distance === null || typeof distance !== "number") return 0.0;
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if (distance >= 1.0) return 1;
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if (distance <= 0) return 0;
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return 1 - distance;
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},
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namespaceCount: async function (_namespace = null) {
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const { client } = await this.connect();
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const namespace = await this.namespace(client, _namespace);
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@ -59,6 +65,7 @@ const Chroma = {
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const result = {
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contextTexts: [],
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sourceDocuments: [],
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scores: [],
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};
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const response = await collection.query({
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@ -68,6 +75,7 @@ const Chroma = {
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response.ids[0].forEach((_, i) => {
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result.contextTexts.push(response.documents[0][i]);
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result.sourceDocuments.push(response.metadatas[0][i]);
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result.scores.push(this.distanceToSimilarity(response.distances[0][i]));
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});
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return result;
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@ -18,6 +18,12 @@ const LanceDb = {
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const client = await lancedb.connect(this.uri);
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return { client };
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},
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distanceToSimilarity: function (distance = null) {
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if (distance === null || typeof distance !== "number") return 0.0;
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if (distance >= 1.0) return 1;
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if (distance <= 0) return 0;
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return 1 - distance;
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},
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heartbeat: async function () {
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await this.connect();
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return { heartbeat: Number(new Date()) };
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@ -54,6 +60,7 @@ const LanceDb = {
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const result = {
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contextTexts: [],
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sourceDocuments: [],
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scores: [],
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};
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const response = await collection
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@ -66,6 +73,7 @@ const LanceDb = {
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const { vector: _, ...rest } = item;
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result.contextTexts.push(rest.text);
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result.sourceDocuments.push(rest);
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result.scores.push(this.distanceToSimilarity(item.score));
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});
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return result;
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@ -41,6 +41,7 @@ const Pinecone = {
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const result = {
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contextTexts: [],
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sourceDocuments: [],
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scores: [],
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};
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const response = await index.query({
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queryRequest: {
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@ -54,6 +55,7 @@ const Pinecone = {
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response.matches.forEach((match) => {
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result.contextTexts.push(match.metadata.text);
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result.sourceDocuments.push(match);
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result.scores.push(match.score);
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});
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return result;
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@ -51,11 +51,13 @@ const QDrant = {
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const result = {
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contextTexts: [],
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sourceDocuments: [],
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scores: [],
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};
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const responses = await client.search(namespace, {
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vector: queryVector,
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limit: 4,
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with_payload: true,
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});
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responses.forEach((response) => {
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@ -64,6 +66,7 @@ const QDrant = {
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...(response?.payload || {}),
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id: response.id,
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});
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result.scores.push(response.score);
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});
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return result;
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@ -77,6 +77,7 @@ const Weaviate = {
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const result = {
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contextTexts: [],
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sourceDocuments: [],
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scores: [],
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};
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const weaviateClass = await this.namespace(client, namespace);
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@ -84,7 +85,7 @@ const Weaviate = {
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const queryResponse = await client.graphql
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.get()
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.withClassName(camelCase(namespace))
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.withFields(`${fields} _additional { id }`)
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.withFields(`${fields} _additional { id certainty }`)
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.withNearVector({ vector: queryVector })
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.withLimit(4)
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.do();
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@ -94,11 +95,12 @@ const Weaviate = {
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// In Weaviate we have to pluck id from _additional and spread it into the rest
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// of the properties.
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const {
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_additional: { id },
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_additional: { id, certainty },
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...rest
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} = response;
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result.contextTexts.push(rest.text);
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result.sourceDocuments.push({ ...rest, id });
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result.scores.push(certainty);
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});
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return result;
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