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synced 2026-09-07 08:26:51 +00:00
fix: update Qdrant vector store configuration with on_disk and hnsw parameters
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parent
f72f6c2333
commit
5641c84c56
2 changed files with 43 additions and 13 deletions
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@ -532,6 +532,12 @@ describe("QdrantVectorStore", () => {
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vectors: {
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size: mockVectorSize,
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distance: "Cosine", // Assuming 'Cosine' is the DISTANCE_METRIC
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on_disk: true,
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},
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hnsw_config: {
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m: 64,
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ef_construct: 512,
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on_disk: true,
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},
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})
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expect(mockQdrantClientInstance.deleteCollection).not.toHaveBeenCalled()
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@ -610,6 +616,12 @@ describe("QdrantVectorStore", () => {
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vectors: {
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size: mockVectorSize, // Should use the new, correct vector size
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distance: "Cosine",
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on_disk: true,
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},
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hnsw_config: {
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m: 64,
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ef_construct: 512,
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on_disk: true,
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},
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})
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@ -903,6 +915,12 @@ describe("QdrantVectorStore", () => {
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vectors: {
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size: newVectorSize, // Should create with new 768 dimensions
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distance: "Cosine",
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on_disk: true,
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},
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hnsw_config: {
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m: 64,
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ef_construct: 512,
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on_disk: true,
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},
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})
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expect(mockQdrantClientInstance.createPayloadIndex).toHaveBeenCalledTimes(5)
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@ -1248,7 +1266,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1299,7 +1317,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1325,7 +1343,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: customMinScore,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1349,7 +1367,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: customMaxResults,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1496,7 +1514,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1561,7 +1579,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1587,7 +1605,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1611,7 +1629,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1635,7 +1653,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1659,7 +1677,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1690,7 +1708,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -1721,7 +1739,7 @@ describe("QdrantVectorStore", () => {
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score_threshold: DEFAULT_SEARCH_MIN_SCORE,
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limit: DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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@ -155,6 +155,12 @@ export class QdrantVectorStore implements IVectorStore {
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vectors: {
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size: this.vectorSize,
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distance: this.DISTANCE_METRIC,
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on_disk: true,
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},
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hnsw_config: {
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m: 64,
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ef_construct: 512,
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on_disk: true,
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},
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})
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created = true
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@ -244,6 +250,12 @@ export class QdrantVectorStore implements IVectorStore {
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vectors: {
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size: this.vectorSize,
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distance: this.DISTANCE_METRIC,
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on_disk: true,
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},
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hnsw_config: {
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m: 64,
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ef_construct: 512,
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on_disk: true,
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},
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})
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console.log(`[QdrantVectorStore] Successfully created new collection ${this.collectionName}`)
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@ -404,7 +416,7 @@ export class QdrantVectorStore implements IVectorStore {
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score_threshold: minScore ?? DEFAULT_SEARCH_MIN_SCORE,
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limit: maxResults ?? DEFAULT_MAX_SEARCH_RESULTS,
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params: {
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hnsw_ef: 128,
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hnsw_ef: 256,
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exact: false,
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},
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with_payload: {
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