Search Results for "query" - Page 12
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Showing 1835 open source projects for "query"
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Datalevin
A simple, fast and versatile Datalog database
Datalevin is an open-source Datalog-based database written in Clojure that runs natively on top of LMDB. It supports full ACID transactions, schema-less EDN data storage, vector search with SIMD acceleration, and text-based querying. Usable as an embedded library or as a client/server database with RBAC access, it acts like SQLite or Datomic on a ledger of immutable datoms, plus modern features like vector and full-text search. -
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Google Node.js Datastore
Node.js client for Google Cloud Datastore
Google’s Node.js Datastore client is a library for interacting with Google Cloud Datastore, a fully managed NoSQL database. It enables developers to store and query structured data in a scalable and serverless manner. The library provides an easy-to-use API for integrating Datastore into Node.js applications. -
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mongoose-paginate-v2
A custom pagination library for Mongoose with customizable labels
mongoose-paginate-v2 is a pagination library having a page wrapper. The main usage of the plugin is you can alter the return value keys directly in the query itself so that you don't need any extra code for transformation. The initial idea of this plugin is loosely based on the mongoose-paginate package by github.com/edwardhotchkiss/. So this can be considered as an upgraded version of mongoose-paginate with many more options. -
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Nebulex
In-memory and distributed caching toolkit for Elixir
Nebulex provides support for transparently adding caching into an existing Elixir application. Similar to Ecto, the caching abstraction allows consistent use of various caching solutions with minimal impact on the code. Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage... -
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match-sorter
Simple, expected, and deterministic best-match sorting
match-sorter is a small JavaScript library that takes a list of items and returns them sorted by how well they match a given search query. It is designed to produce “simple, expected, and deterministic” results so users see intuitive matches instead of opaque fuzzy scores. The core API accepts arrays of strings or objects and returns a filtered, ranked list, making it a natural fit for search boxes, autocomplete components, and table filtering. It supports a variety of advanced options, such as specifying which object keys to search, controlling the matching threshold, and customizing the base sorting logic. ... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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marqo
Tensor search for humans
...Marqo is a versatile and robust search and analytics engine that can be integrated into any website or application. Due to horizontal scalability, Marqo provides lightning-fast query times, even with millions of documents. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. It can seamlessly handle image-to-image, image-to-text and text-to-image search and analytics. Marqo adapts and stores your data in a fully schemaless manner. It combines tensor search with a query DSL that provides efficient pre-filtering. ... -
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FTLDNS
The Pi-hole FTL engine
Network-wide ad blocking via your own Linux hardware. FTLDNS (pihole-FTL) provides an interactive API and also generates statistics for Pi-hole®'s Web interface. Fast, stats are read directly from memory by coupling our codebase closely with dnsmasq. Versatile, upstream changes to dnsmasq can quickly be merged in without much conflict. Lightweight, runs smoothly with minimal hardware and software requirements such as Raspberry Pi Zero. Interactive, our API can be used to interface with your... -
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Graphene
GraphQL in Python Made Easy
...Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement a GraphQL API in Python, with multiple integrations with different frameworks including Django, SQLAlchemy and Google App Engine. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Semantra
Multi-tool for semantic search
...The system runs from the command line and automatically launches a local web interface where users can perform interactive searches and examine document passages related to a query. By relying on semantic embeddings and contextual analysis, the tool can identify passages that are relevant even when the query uses different wording than the source documents. -
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MyScaleDB
A @ClickHouse fork that supports high-performance vector search
...This design allows developers to store structured data, unstructured text, and high-dimensional vector embeddings within a single database platform. MyScaleDB enables developers to perform vector similarity searches using standard SQL syntax, eliminating the need to learn specialized vector database query languages. The database is optimized for high performance and scalability, allowing it to handle extremely large datasets and high query loads typical of production AI applications. -
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SAG
SQL-Driven RAG Engine
SAG is an open-source SQL-driven retrieval-augmented generation engine that dynamically constructs knowledge graphs during query processing. Instead of relying on a static knowledge graph prepared in advance, the system automatically builds relational structures between entities while processing user queries. Documents are first decomposed into atomic semantic events, which are then represented using multidimensional natural language vectors. These vectors allow the system to identify relationships between concepts and construct a graph representation of knowledge at runtime. ... -
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Korvus
Korvus is a search SDK that unifies the entire RAG pipeline
Korvus is an open-source retrieval-augmented generation (RAG) pipeline designed to run entirely inside PostgreSQL, allowing developers to build AI search and knowledge systems directly within a database environment. The project consolidates the typical steps of a RAG pipeline—including embedding generation, document retrieval, reranking, and text generation—into a single query executed within the Postgres ecosystem. By leveraging PostgresML and vector extensions such as pgvector, Korvus eliminates the need for external microservices typically used for AI search architectures, reducing both system complexity and latency. The architecture enables machine learning operations to occur directly in the database, minimizing data transfer between services and improving overall performance for large datasets. -
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MCP Shrimp Task Manager
Shrimp Task Manager is a task tool built for AI Agents
...It ships with a web/GUI experience and works smoothly inside MCP-capable IDEs, making it useful as both a personal organizer and a programmable task substrate for software projects. Stars, registry listings, and docs point to active usage across the MCP community. The result is a practical “task brain” that agents can query and evolve over time. -
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DB-GPT
Revolutionizing Database Interactions with Private LLM Technology
DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment. With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private and secure. -
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GraphQL Mesh
GraphQL Mesh — Query anything, run anywhere
GraphQL Mesh allows you to use GraphQL query language to access data in remote APIs that don't run GraphQL (and also ones that do run GraphQL). It can be used as a gateway to other services or run as a local GraphQL schema that aggregates data from remote APIs. The goal of GraphQL Mesh is to let developers easily access services that are written in other APIs specs (such as gRPC, OpenAPI/Swagger, OData, SOAP/WSDL, Apache Thrift, Mongoose, PostgreSQL, Neo4j, and also GraphQL) with GraphQL queries and mutations.GraphQL Mesh gives the developer the ability to modify the output schemas, link types across schemas and merge schema types. ... -
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gojq
Pure Go implementation of jq
...You can also embed gojq as a library to your Go products. gojq is purely implemented with Go language and is completely portable. jq depends on the C standard library so the availability of math functions depends on the library. jq also depends on the regular expression library and it makes building scripts complex. gojq implements nice error messages for invalid query and JSON input. The error message of jq is sometimes difficult to tell where to fix the query. gojq does not keep the order of object keys. I understand this might cause problems for some scripts but basically, we should not rely on the order of object keys. Due to this limitation, gojq does not have the keys_unsorted function and --sort-keys (-S) option. gojq supports arbitrary-precision integer calculation while jq does not; jq loses the precision of large integers when calculation is involved. -
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Apollo Client Browser Devtools
Apollo Client browser developer tools
...The Apollo Client Browser Devtools appears as an "Apollo" tab in your web browser inspector, alongside other tabs like "Elements" and "Console". Send queries to your server through your web applications configured Apollo Client instance, or query the Apollo Client cache to see what data is loaded. View active queries, variables, cached results, and re-run individual queries. View fired mutations, and variables, and re-run individual mutations. Visualize the Apollo Client cache and search through it by field names and/or values. You can install the extension via Firefox Browser Add-ons or the Chrome Webstore. ... -
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EasyDB
Easy-to-use PDO wrapper for PHP projects
EasyDB is a secure, lightweight, and extensible database wrapper for PHP built on top of PDO. It simplifies query building, error handling, and parameter binding while encouraging best practices like prepared statements. EasyDB is designed for small to mid-sized applications that need clean and secure database access. -
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Grafana Loki
Multi-tenant log aggregation system inspired by Prometheus
Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Unlike other logging systems, Loki is built around the idea of only indexing metadata about your logs: labels (just like Prometheus labels). Log data itself is then compressed and stored in chunks in object stores such as S3 or... -
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Terrascan
Detect compliance and security violations across Infrastructure
...Terracan provides 500+ out-of-the-box policies so that you can scan IaC against common policy standards such as the CIS Benchmark. It leverages the Open Policy Agent (OPA) engine so that you can easily create custom policies using the Rego query language. Monitor provisioned cloud infrastructure for configuration changes that introduce posture drift, and enables reverting to a secure posture. Detect security vulnerabilities and compliance violations. -
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Code-Graph-RAG
The ultimate RAG for your monorepo
...The system integrates with graph databases such as Memgraph to store and manage relationships, enabling efficient querying and visualization of complex dependencies. It also supports AI-driven query translation, converting natural language into graph queries for deeper analysis and interaction. -
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SurfSense
Connect any LLM to your internal knowledge sources
SurfSense is an open-source AI research and knowledge assistant platform that connects any large language model to internal knowledge sources so teams and individuals can explore, query, and collaborate on insights in real time. Built as an alternative to proprietary tools like NotebookLM, Perplexity, and Glean, SurfSense allows integrations with a wide range of external data sources including Slack, Notion, Google Drive, GitHub, YouTube, and many enterprise systems, making it possible to interact with documents, chat logs, and structured data using natural language. ... -
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OpenLLM
Operating LLMs in production
...Built-in supports a wide range of open-source LLMs and model runtime, including Llama 2， StableLM, Falcon, Dolly, Flan-T5, ChatGLM, StarCoder, and more. Serve LLMs over RESTful API or gRPC with one command, query via WebUI, CLI, our Python/Javascript client, or any HTTP client. -
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Pony ORM
Pony Object Relational Mapper
Pony ORM is a Python ORM that enables developers to write database queries using generator expressions and Pythonic syntax, making code more readable and intuitive. It automatically translates Python expressions into SQL and supports multiple databases including SQLite, MySQL, PostgreSQL, and Oracle. With an emphasis on simplicity and maintainability, Pony ORM is suitable for both small projects and complex applications.
