#rust #events #forwarder #logs #metrics #observability #parser #pipeline #router #rust #stream_processing #vector
Vector is a powerful tool for managing your observability data, such as logs and metrics. It allows you to collect, transform, and route your data to any vendor you choose, giving you full control. Vector is reliable, fast (up to 10x faster than alternatives), and secure. It helps reduce costs, improve data quality, and consolidate agents, making your observability processes more efficient and reliable. With a strong community support and extensive documentation, Vector is used by many big companies and is downloaded over 100,000 times daily. This makes it a valuable tool for anyone looking to manage their data effectively.
https://github.com/vectordotdev/vector
Vector is a powerful tool for managing your observability data, such as logs and metrics. It allows you to collect, transform, and route your data to any vendor you choose, giving you full control. Vector is reliable, fast (up to 10x faster than alternatives), and secure. It helps reduce costs, improve data quality, and consolidate agents, making your observability processes more efficient and reliable. With a strong community support and extensive documentation, Vector is used by many big companies and is downloaded over 100,000 times daily. This makes it a valuable tool for anyone looking to manage their data effectively.
https://github.com/vectordotdev/vector
GitHub
GitHub - vectordotdev/vector: A high-performance observability data pipeline.
A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
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#rust #app_search #database #enterprise_search #faceting #full_text_search #fuzzy_search #geosearch #hybrid_search #instantsearch #rest #rust #search #search_as_you_type #search_engine #semantic_search #site_search #synonyms #typo_tolerance #vector_database #vectors
Meilisearch is a fast and powerful search engine that you can easily integrate into your apps, websites, and workflow. It offers features like hybrid search, search-as-you-type, typo tolerance, filtering, and sorting to enhance the user experience. You can customize it to fit your needs with support for multiple languages and advanced security management. It's easy to install, deploy, and maintain, and you can use their cloud service for added convenience. Meilisearch also provides extensive documentation, SDKs for various programming languages, and a supportive community through Discord and other channels. This makes it a great tool to supercharge your search capabilities quickly and efficiently.
https://github.com/meilisearch/meilisearch
Meilisearch is a fast and powerful search engine that you can easily integrate into your apps, websites, and workflow. It offers features like hybrid search, search-as-you-type, typo tolerance, filtering, and sorting to enhance the user experience. You can customize it to fit your needs with support for multiple languages and advanced security management. It's easy to install, deploy, and maintain, and you can use their cloud service for added convenience. Meilisearch also provides extensive documentation, SDKs for various programming languages, and a supportive community through Discord and other channels. This makes it a great tool to supercharge your search capabilities quickly and efficiently.
https://github.com/meilisearch/meilisearch
GitHub
GitHub - meilisearch/meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. - meilisearch/meilisearch
#typescript #chatbot #cot #graphrag #knowledge_graph #mysql #rag #serverless #vector_database
TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.
https://github.com/pingcap/autoflow
TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.
https://github.com/pingcap/autoflow
GitHub
GitHub - pingcap/autoflow: pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless…
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai - pingcap/autoflow
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#other #chatbot #hugging_face #llm #llm_local #llm_prompting #llm_security #llmops #machine_learning #open_ai #pathway #rag #real_time #retrieval_augmented_generation #vector_database #vector_index
Pathway's AI Pipelines help you quickly create and deploy AI applications with high accuracy. These pipelines use the latest knowledge from your data sources and offer ready-to-deploy templates for large language models. You can test these apps on your own machine and deploy them on cloud services like GCP, AWS, or Azure, or on-premises. The apps connect to various data sources such as file systems, Google Drive, and databases, and they include built-in data indexing for efficient searches. This makes it easy to extract and organize data from documents in real-time, reducing the need for separate infrastructure setups. This simplifies the process of building and maintaining AI applications, saving you time and effort.
https://github.com/pathwaycom/llm-app
Pathway's AI Pipelines help you quickly create and deploy AI applications with high accuracy. These pipelines use the latest knowledge from your data sources and offer ready-to-deploy templates for large language models. You can test these apps on your own machine and deploy them on cloud services like GCP, AWS, or Azure, or on-premises. The apps connect to various data sources such as file systems, Google Drive, and databases, and they include built-in data indexing for efficient searches. This makes it easy to extract and organize data from documents in real-time, reducing the need for separate infrastructure setups. This simplifies the process of building and maintaining AI applications, saving you time and effort.
https://github.com/pathwaycom/llm-app
GitHub
GitHub - pathwaycom/llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker…
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,...
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