Results for “chromadb”

Store and query embeddings with metadata, vector and full-text search, and filtering. Integrates with LangChain and LlamaIndex for RAG and semantic search applications.

Streams change data capture from MongoDB into Redpanda or Kafka using Redpanda Connect's mongodb_cdc input, covering Change Streams, snapshots, document modes, and resume-token checkpointing.

Store and query embeddings with metadata filtering, vector search, and full-text search using an open-source database that scales from notebooks to production.

Guides setup and operation of the aws_dynamodb_cdc input in Redpanda Connect, which streams change data capture from AWS DynamoDB into Redpanda or Kafka using DynamoDB Streams. Covers enabling streams, IAM policies, checkpoint tables, snapshot modes, table discovery, and operational constraints.

Ingests video and audio from files, URLs, RTSP feeds, or desktop capture; indexes and searches moments with timestamps; transcodes, edits timelines, generates media assets, and creates real-time alerts for live streams.

Explains MariaDB-specific defaults and traps of the mariadb-dump client for dev workflows, including consistent backups, routines/events flags, diffable dumps, idempotent seeding, and restore via the mariadb client.

Streams change data capture from Oracle Database into Redpanda or Kafka using the oracledb_cdc input in Redpanda Connect, which reads redo logs via LogMiner. Covers configuration, Oracle setup, checkpointing, and enterprise features.

Manages a MariaDB database schema across its lifecycle using the MariaDB Schema Management plugin via the mariadb-shell MCP server, covering project creation, versioned development, releases, and deployment.

Expert guidance for architecting, developing, and operating SurrealDB 3, covering SurrealQL, multi-model data modeling, vector search, security, deployment, performance tuning, SDK integration, and ecosystem tools.

Documents MariaDB-specific GRANT behavior, including privilege scope levels, implicit account creation, MariaDB-only privileges, roles, proxy grants, resource limits, and TLS options, to help write accurate GRANT statements.

Explains MariaDB Connector/Python's DB API 2.0 behavior, including qmark placeholders, autocommit, prepared statements, buffered cursors, connection pooling, and error handling, for writing and reviewing Python code that uses the mariadb module.

Covers MariaDB-specific behavior of the mariadb command-line client, including batch mode output, delimiter handling, safe-updates, charset detection, and TLS defaults, for writing or reviewing shell commands and scripts.

Installs the official MongoDB Node.js driver and verifies package integrity for building MongoDB-backed applications.

Runs SQL queries and data conversions on CSV, Parquet, and JSON files using the DuckDB command-line interface, including schema inspection and output formatting.

Perform create, read, update, and delete operations in MongoDB, covering query and update operators, atomic operations, and bulk writes.

Documents MariaDB-specific transaction control syntax and behavior, including START TRANSACTION, COMMIT, ROLLBACK, SAVEPOINT, implicit commit rules, autocommit defaults, and idle transaction timeouts.

Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.