Vector DB Embedding Batch

Rag Vector Store Writer

labrat011/rag-vector-store-writer

Apify Actor that writes embedding vectors to Pinecone or Qdrant vector databases. Chains directly with RAG Embedding Generator output or accepts raw vectors with metadata. Handles batching, retries, collection creation, metadata mapping, and ID generation. Bring your own vector DB API key.

Vector Loader — Document Embedding & Vector DB Ingestion helps teams get quick, high-signal results with reliable output, clear fields, and fast setup.

Rag Embedding Generator

labrat011/rag-embedding-generator

Generate vector embeddings from text or chunked datasets using OpenAI or Cohere. Chains with RAG Content Chunker for end-to-end RAG pipelines. Outputs raw vectors ready for any vector database.

Vector Db Migrator

fiery_dream/vector-db-migrator

Migrate embeddings between Pinecone, Weaviate, Chroma, and Qdrant with metadata preservation and validation. No free migration tools exist in the market.

Docs to Markdown + AI Embeddings → Vector DB Crawler

badruddeen/docs-to-markdown-ai-embeddings---vector-db-crawler

Turn any documentation site into clean Markdown, intelligently chunked content with embeddings (Azure/OpenAI), and directly upsert into MongoDB Atlas, Pinecone, Weaviate, Qdrant, or Milvus — ready for RAG, AI assistants, and semantic search in minutes.

Qdrant Integration

apify/qdrant-integration

Transfer data from Apify Actors to a Qdrant vector database.

LLM Data Pipeline Pro

sanztheo/llm-data-pipeline-pro

Transform websites into LLM training data. Scrape, validate, deduplicate, chunk for RAG, and export to OpenAI/Anthropic/Mistral formats. Built-in PII detection and GDPR compliance. Vector DB export to Pinecone & Qdrant.

OpenAI Vector Store Integration

jiri.spilka/openai-vector-store-integration

This integration uploads data from Apify Actors to the OpenAI Vector Store linked to OpenAI Assistant.

Convert PDFs into token-bounded Markdown chunks for RAG, embeddings, and vector databases (Pinecone, Chroma, Weaviate, Qdrant). Set maxTokens + overlap; get clean chunks with page number, token count, and SHA-256 content hash for dedup. JSON dataset ready for any LLM pipeline.

Self Learning Postgres DB

ruv/self-learning-postgres-db

Self-learning vector database with GNN-powered index optimization. Features: vector search, RAG queries, embeddings, clustering, deduplication, batch ops, and data import/export. Scales with Raft consensus.