Search Results for "database index"
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Showing 7 open source projects for "database index"
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch,... -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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Walrus
Lightweight Python utilities for working with Redis
The purpose of walrus is to make working with Redis in Python a little easier. Rather than ask you to learn a new library, walrus subclasses and extends the popular redis-py client, allowing it to be used as a drop-in replacement. In addition to all the features in redis-py, walrus adds support for some newer commands, including full support for streams and consumer groups. Persistent structures implemented on top of Hashes. Supports secondary indexes to allow filtering on equality,... -
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Create and manipulate DBF files (xBase) with suport for 'memo' fields. You can open or create tables (with their corresponding 'memo' file), read records, append, replace or delete them (logical and physical). Index support is not available now
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The pydball (dball) module wraps DB-API V2 modules and adds functionality to them. The new functionality includes Kevin Jacob's db_row module giving a developer access to fields by name or index.
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This was previously documented as the location for receiving support for PyPI. Support requests are now handled at https://github.com/pypa/pypi-support
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