Initial commit: Brainy - Multi-Dimensional AI Database

Open source vector database with HNSW indexing, graph relationships,
and metadata facets. Features CLI with professional augmentation registry
integration for discovering extensions and capabilities.
This commit is contained in:
David Snelling 2025-08-18 17:35:06 -07:00
commit f8c45f2d8d
448 changed files with 103294 additions and 0 deletions

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/**
* Enhanced Batch S3 Operations for High-Performance Vector Retrieval
* Implements optimized batch operations to reduce S3 API calls and latency
*/
/**
* High-performance batch operations for S3-compatible storage
* Optimizes retrieval patterns for HNSW search operations
*/
export class BatchS3Operations {
constructor(s3Client, bucketName, options = {}) {
this.s3Client = s3Client;
this.bucketName = bucketName;
this.options = {
maxConcurrency: 50, // AWS S3 rate limit friendly
prefetchSize: 100,
useS3Select: false,
compressionEnabled: false,
...options
};
}
/**
* Batch retrieve HNSW nodes with intelligent prefetching
*/
async batchGetNodes(nodeIds, prefix = 'nodes/') {
const startTime = Date.now();
const result = {
items: new Map(),
errors: new Map(),
statistics: {
totalRequested: nodeIds.length,
totalRetrieved: 0,
totalErrors: 0,
duration: 0,
apiCalls: 0
}
};
if (nodeIds.length === 0) {
result.statistics.duration = Date.now() - startTime;
return result;
}
// Use different strategies based on request size
if (nodeIds.length <= 10) {
// Small batch - use parallel GetObject
await this.parallelGetObjects(nodeIds, prefix, result);
}
else if (nodeIds.length <= 1000) {
// Medium batch - use chunked parallel with prefetching
await this.chunkedParallelGet(nodeIds, prefix, result);
}
else {
// Large batch - use S3 list-based approach with filtering
await this.listBasedBatchGet(nodeIds, prefix, result);
}
result.statistics.duration = Date.now() - startTime;
return result;
}
/**
* Parallel GetObject operations for small batches
*/
async parallelGetObjects(ids, prefix, result) {
const { GetObjectCommand } = await import('@aws-sdk/client-s3');
const semaphore = new Semaphore(this.options.maxConcurrency);
const promises = ids.map(async (id) => {
await semaphore.acquire();
try {
result.statistics.apiCalls++;
const response = await this.s3Client.send(new GetObjectCommand({
Bucket: this.bucketName,
Key: `${prefix}${id}.json`
}));
if (response.Body) {
const content = await response.Body.transformToString();
const item = this.parseStoredObject(content);
if (item) {
result.items.set(id, item);
result.statistics.totalRetrieved++;
}
}
}
catch (error) {
result.errors.set(id, error);
result.statistics.totalErrors++;
}
finally {
semaphore.release();
}
});
await Promise.all(promises);
}
/**
* Chunked parallel retrieval with intelligent batching
*/
async chunkedParallelGet(ids, prefix, result) {
const chunkSize = Math.min(50, Math.ceil(ids.length / 10));
const chunks = this.chunkArray(ids, chunkSize);
// Process chunks with controlled concurrency
const semaphore = new Semaphore(Math.min(5, chunks.length));
const chunkPromises = chunks.map(async (chunk) => {
await semaphore.acquire();
try {
await this.parallelGetObjects(chunk, prefix, result);
}
finally {
semaphore.release();
}
});
await Promise.all(chunkPromises);
}
/**
* List-based batch retrieval for large datasets
* Uses S3 ListObjects to reduce API calls
*/
async listBasedBatchGet(ids, prefix, result) {
const { ListObjectsV2Command, GetObjectCommand } = await import('@aws-sdk/client-s3');
// Create a set for O(1) lookup
const idSet = new Set(ids);
// List objects with the prefix
let continuationToken;
const maxKeys = 1000;
do {
result.statistics.apiCalls++;
const listResponse = await this.s3Client.send(new ListObjectsV2Command({
Bucket: this.bucketName,
Prefix: prefix,
MaxKeys: maxKeys,
ContinuationToken: continuationToken
}));
if (listResponse.Contents) {
// Filter objects that match our requested IDs
const matchingObjects = listResponse.Contents.filter((obj) => {
if (!obj.Key)
return false;
const id = obj.Key.replace(prefix, '').replace('.json', '');
return idSet.has(id);
});
// Batch retrieve matching objects
const semaphore = new Semaphore(this.options.maxConcurrency);
const retrievalPromises = matchingObjects.map(async (obj) => {
if (!obj.Key)
return;
await semaphore.acquire();
try {
result.statistics.apiCalls++;
const response = await this.s3Client.send(new GetObjectCommand({
Bucket: this.bucketName,
Key: obj.Key
}));
if (response.Body) {
const content = await response.Body.transformToString();
const item = this.parseStoredObject(content);
if (item) {
const id = obj.Key.replace(prefix, '').replace('.json', '');
result.items.set(id, item);
result.statistics.totalRetrieved++;
}
}
}
catch (error) {
const id = obj.Key.replace(prefix, '').replace('.json', '');
result.errors.set(id, error);
result.statistics.totalErrors++;
}
finally {
semaphore.release();
}
});
await Promise.all(retrievalPromises);
}
continuationToken = listResponse.NextContinuationToken;
} while (continuationToken && result.items.size < ids.length);
}
/**
* Intelligent prefetch based on HNSW graph connectivity
*/
async prefetchConnectedNodes(currentNodeIds, connectionMap, prefix = 'nodes/') {
// Analyze connection patterns to predict next nodes
const predictedNodes = new Set();
for (const nodeId of currentNodeIds) {
const connections = connectionMap.get(nodeId);
if (connections) {
// Add immediate neighbors
connections.forEach(connId => predictedNodes.add(connId));
// Add second-degree neighbors (limited)
let count = 0;
for (const connId of connections) {
if (count >= 5)
break; // Limit prefetch scope
const secondDegree = connectionMap.get(connId);
if (secondDegree) {
secondDegree.forEach(id => {
if (count < 20) {
predictedNodes.add(id);
count++;
}
});
}
}
}
}
// Remove nodes we already have
const nodesToPrefetch = Array.from(predictedNodes).filter(id => !currentNodeIds.includes(id));
return this.batchGetNodes(nodesToPrefetch.slice(0, this.options.prefetchSize), prefix);
}
/**
* S3 Select-based retrieval for filtered queries
*/
async selectiveRetrieve(prefix, filter) {
// This would use S3 Select to filter objects server-side
// Reducing data transfer for large-scale operations
const startTime = Date.now();
const result = {
items: new Map(),
errors: new Map(),
statistics: {
totalRequested: 0,
totalRetrieved: 0,
totalErrors: 0,
duration: 0,
apiCalls: 0
}
};
// S3 Select implementation would go here
// For now, fall back to list-based approach
console.warn('S3 Select not implemented, falling back to list-based retrieval');
result.statistics.duration = Date.now() - startTime;
return result;
}
/**
* Parse stored object from JSON string
*/
parseStoredObject(content) {
try {
const parsed = JSON.parse(content);
// Reconstruct HNSW node structure
if (parsed.connections && typeof parsed.connections === 'object') {
const connections = new Map();
for (const [level, nodeIds] of Object.entries(parsed.connections)) {
connections.set(Number(level), new Set(nodeIds));
}
parsed.connections = connections;
}
return parsed;
}
catch (error) {
console.error('Failed to parse stored object:', error);
return null;
}
}
/**
* Utility function to chunk arrays
*/
chunkArray(array, chunkSize) {
const chunks = [];
for (let i = 0; i < array.length; i += chunkSize) {
chunks.push(array.slice(i, i + chunkSize));
}
return chunks;
}
}
/**
* Simple semaphore implementation for concurrency control
*/
class Semaphore {
constructor(permits) {
this.waiting = [];
this.permits = permits;
}
async acquire() {
if (this.permits > 0) {
this.permits--;
return Promise.resolve();
}
return new Promise((resolve) => {
this.waiting.push(resolve);
});
}
release() {
if (this.waiting.length > 0) {
const resolve = this.waiting.shift();
resolve();
}
else {
this.permits++;
}
}
}
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