Search the web for AI agents: ranked results with a page-text excerpt for each one, the published date when the page has one, and the domain. One result set per query, ready to drop into a prompt.
Sample
Here's a sample run of 2 searches like 'best open source vector database' and 'RBI repo rate decision', showing the exact schema and results you can expect.
| # | Query | Position | Title | URL | Domain | Excerpt | Published Date | Engine | Fetched At |
|---|---|---|---|---|---|---|---|---|---|
1 | best open source vector database | 1 | Best open source Vector Databases: ranked and compared | faun.dev | Best open source Vector Databases: ranked and compared
8 open source Vector Databases rated criterion by criterion (Ease of use, Maturity & stability, Integrations, Filtering & hybrid search, Documentation, Community & support
...
Open source Vector Databases: Which tool should you pick in 2026?
Qdrant ( 82 /100) and Milvus ( 81 /100) are the two best Vector Databases , almost level. The table ranks 8 databases on 11 criteria.
These tools score best on pricing transparency and worst on ease of use . They differ the most on filtering & hybrid search , where Vespa scores highest and Vald lowest.
If ease of use matters most to you, pick Chroma . If it is maturity & stability , pick Vespa . If it is community & support , pick Milvus . Qdrant is at its best on query throughput and Weaviate on filtering & hybrid search .
Compare only
Closed source (8)
The best Vector Databases compared
Promote your product here
* Ranking
* Detailed scores
Sorted by Score.
1
Qdrant logo
Qdrant
An open source vector database and similarity search engine written in Rust, with filtered vector search and a managed cloud option.
Best for: Query throughput (85/100)
I use it
Rate
82/100
2
Milvus logo
Milvus
Milvus is an open source vector database written in Go and C++ for similarity search over very large collections of vectors. It runs as an embedded Python library (Milvus Lite), a…
Best for: Pricing transparency (100/100)
I use it
Rate
81/100
3
Weaviate logo | — | primary | 2026-11-09T10:16:56.112206+00:00 | |
2 | best open source vector database | 2 | Best Open Source Vector Database 2026: Weaviate vs Qdrant vs Milvus | Stork.AI | stork.ai | ← Back to Blog
comparisons
Best Open Source Vector Databases (2026)
A practical, no-hype comparison of the leading open source vector databases in 2026 -- Weaviate, Qdrant, Milvus, pgvector, and Chroma -- with guidance on which one actually fits your workload.
Vera Cole Vera Cole AI columnist
The Scorecard Jul 12, 2026 3 min read
Best Open Source Vector Databases (2026)
In This Article
* 1 The Top Open Source Vector Databases in 2026
* 2 How to choose
* 3 Sources
There is no single "best" open source vector database in 2026 -- the right answer depends on scale and how much you want built in for you. For most new RAG projects, Qdrant is the default recommendation: fast, Rust-built, and simple to self-host with strong metadata filtering. Weaviate is the top pick if you want native hybrid search (keyword + vector) and built-in embedding modules so you can insert raw text instead of managing an embedding pipeline yourself. Milvus takes over once you are operating at tru
...
Weaviate -- best for hybrid search and fast time-to-value
Weaviate is the easiest of the purpose-built options to get productive with quickly.
...
thanks to its distributed design. The tradeoff is operational complexity -- Milvus is more resource-intensive to run than Qdrant or Weaviate, so it is best reserved for teams that are genuinely operating at hundreds of millions of vectors or more.
pgvector -- best if you already run Postgres
...
Choose Weaviate for its | 2026-07-12 | primary | 2026-11-09T10:16:56.112206+00:00 | |
3 | best open source vector database | 3 | Best Open Source Vector Databases in 2026 – Chat2DB | chat2db.ai | Light
Blog
Best Open Source Vector Databases in 2026
Click to use (opens in a new tab)
Best Open Source Vector Databases in 2026
September 18, 2026by Chat2DB Chat2DB Team
...
query vector? Exact nearest-neighbour search over millions of 1536-dimensional vectors is too slow for interactive use, so every serious engine uses approximate nearest neighbour (ANN) indexes.
...
nearest clusters, often combined with product quantization to shrink memory).
The catch is that "an open source vector database" now means anything from a Postgres extension to a distributed system with a dozen microservices. This vector database comparison covers the eight most popular open source options in 2026, what each one is actually good at, and how to pick.
How to evaluate a vector database
Before the list, here are the criteria used for each entry:
* Index types. HNSW is the default for quality; IVF and quantized variants (IVF_PQ, scalar and binary quantization) matter once you exceed
...
Apache 2.0, MIT, BSD, PostgreSQL License, or a source-available license with restrictions.
1. pgvector on PostgreSQL
* License: PostgreSQL License (permissive)
* Language / architecture: C extension inside PostgreSQL; vectors are
...
horizontal sharding and replication
...
atas = [{ "tenant_id" : 42 }]) res =
...
Vespa is the most capable and the most demanding option here. It is not "a vector database" so much as a search platform that happens to do vectors extremely well. | 2026-09-18 | primary | 2026-11-09T10:16:56.112206+00:00 | |
4 | best open source vector database | 4 | Best Open Source Vector Databases for Production RAG 2026 | scored.tools | scored . tools
* Tools
* Blog
* Compare
* FAQ
* About
Search Ctrl K
roundup 2026-08-08
Best Open Source Vector Databases for Production RAG 2026
Honest comparison of the top open source vector databases for production RAG in 2026, ranked by performance, scalability, and operational maturity.
As of August 2026 , published 8 August 2026.
...
but for <50M vectors it's often the right call.
Best for: Teams already on Postgres who want to avoid another stateful service.
Pricing: PostgreSQL license (free).
...
Best for: Teams that need low-latency filtered search at scale with hybrid retrieval.
Pricing: Apache 2.0 open source. Qdrant Cloud starts around $25/month for managed clusters.
3. Milvus — Score: 7.6/10
Milvus is the heavyweight for billion-vector workloads. The disaggregated storage and compute architecture means you can scale query nodes independently, and the DiskANN and GPU index support
...
* Weaviate | 6.6 | 500M vectors | Native | Medium | BSD-3
* pgvector | 8.4 | 50M vectors | Via extensions | Very Low | PostgreSQL
* Vespa | 7 | 10B+ vectors | Best-in-class | High | Apache 2.0
* LanceDB | 6.4 | 1B+ vectors | Basic | Very Low | Apache 2.0
* Chroma | 7.6 | 100M vectors | Basic | Low | Apache 2.0
* Marqo | 6 | 100M vectors | Native | Low | Apache 2.0
Final Picks
* Best dedicated vector database: Qdrant — the right default for most production RAG in 2026.
* Best for massive scale: Milvus — if you have the infra team to run it. | 2026-08-08 | primary | 2026-11-09T10:16:56.112206+00:00 | |
5 | best open source vector database | 5 | The Best Open-Source Vector Database in 2026: Qdrant vs Weaviate vs Milvus vs pgvector vs Chroma | dreaming.press | The Best Open-Source Vector Database in 2026: Qdrant vs Weaviate vs Milvus vs pgvector vs Chroma
The Stack · 6 min read · RAG & Retrieval
The Best Open-Source Vector Database in 2026: Qdrant vs Weaviate vs Milvus vs pgvector vs Chroma
Five genuinely open-source vector databases, one decision. Skip the hype: the right pick is set by how much you already run, how far you'll scale, and whether you want a server at all.
Dex Mareno By Dex Mareno · claude-sonnet · August 19, 2026
read 32 times avg time 7s live stats →
▶ Listen · ≈8 min 8:00 1×
The takeaway
* If you already run Postgres, start with pgvector — it adds vector search to the database you operate with one CREATE EXTENSION and no new service, and it carries most solo apps into the low millions of vectors.
* Qdrant is the best standalone
...
Chroma — the fastest way to prototype
6. How to choose in 60 seconds
7. Frequently asked
Which open-source vector database should you use in 2026?
...
* pgvector | PostgreSQL
...
5 genuinely open-source vector databases a founder actually chooses among in 2026 1 CREATE EXTENSION away from vector search if you already run Postgres 3.0 Milvus release that landed July 2026 with
...
HNSW index. Move to a dedicated engine (Qdrant, Weaviate, Milvus) when you outgrow that, need advanced filtering at scale, or want features Postgres doesn't have.
...
and Chroma are Apache-2.0; Weaviate is BSD-3-Clause; pgvector uses the permissive PostgreSQL License. | 2026-08-19 | primary | 2026-11-09T10:16:56.112206+00:00 | |
6 | RBI repo rate decision | 1 | Press Releases | Official Website of Reserve Bank of India | rbi.org.in | Further tightening of global financial conditions, uncertainty about fair valuation of AI stocks, and an elusive resolution of the West Asia conflict pose significant downside risks to the global economic outlook. Decisions of the Monetary Policy Committee 3\. In this global backdrop, the Monetary Policy Committee (MPC) met on 5th, 6th and 7th of this month to deliberate and decide on the policy repo rate. After a detailed assessment of the evolving macroeconomic and financial developments and the outlook, the MPC voted unanimously to increase the policy repo rate under the liquidity adjustment facility (LAF) by 25 bps to 5.50 per cent. Consequently, the standing deposit facility (SDF) rate stands adjusted at 5.25 per cent and the marginal standing facility (MSF) rate and the Bank Rate at 5.75 per cent. The MPC also decided to change the stance to calibrated tightening. 4\. I shall now briefly set out the rationale for these decisions. 5\. The MPC noted that the global context on account of geopolitical developments remains challenging.
...
Considering all these factors, the MPC unanimously voted to increase the policy repo rate by 25 basis points to 5.50 per cent.
...
Transmission in the credit market reflected dissimilar movements in deposit and lending rates during July-August.
...
Going forward, the Reserve Bank will use an appropriate mix of liquidity management tools and strive to align the weighted average call rate (WACR) with the policy repo rate. | — | primary | 2026-11-09T10:16:56.112206+00:00 | |
7 | RBI repo rate decision | 2 | Publications | Official Website of Reserve Bank of India | rbi.org.in | Publications
PDF - Monetary and Credit Information Review ( 370 kb )
Date : Aug 31, 2026
Monetary and Credit Information Review
* Contents
* Sections
* I. Monetary Policy
* II. Regulation
* III. Central Board Meeting
* IV. Publications
* V. Data Release and Surveys
* | |
* Volume XXII | Issue 5 | August 2026 MONETARY & CREDIT INFORMATION REVIEW |
* |
* |
*
*
* Note from the Editor Governor Shri Sanjay Malhotra announced the MPC's decision on August 5, 2026, following the third Bi-monthly Meeting for 2026-27, to keep the repo rate unchanged at 5.25 per cent, the SDF rate at 5.00 per cen
...
Brij Raj Editor
I. Monetary Policy
Governor's Monetary Policy Statement on August 5, 2026
Governor Shri Sanjay Malhotra announced the Monetary Policy Committee's decision on August 5, 2026, after it met for its third bi-monthly meeting of the financial year 2026-27 on 3rd, 4th, and 5th of August to deliberate and decide on the policy repo rate. After a detailed assessment of the evolving macroeconomic and financial developments and the outlook, the MPC decided unanimously to keep the policy repo rate under the liquidity adjustment facility (LAF) unchanged at 5.25 per cent; consequently, the standing deposit facility (SDF) rate shall remain unchanged at 5.00 per cent and the marginal standing facility (MSF) rate and the Bank Rate at 5.50 per cent. The MPC also decided to continue with the neutral s
...
Rates on Loans and Advances) | — | primary | 2026-11-09T10:16:56.112206+00:00 | |
8 | RBI repo rate decision | 3 | Press Releases | Official Website of Reserve Bank of India | rbi.org.in | **Monetary Policy Statement, 2026-27 Resolution of the Monetary Policy Committee October 5 to 7, 2026**
|Monetary Policy Decisions The Monetary Policy Committee (MPC) held its 63rd meeting from October 5 to 7, 2026, under the chairmanship of Shri Sanjay Malhotra, Governor, Reserve Bank of India. The MPC members Dr. Nagesh Kumar, Shri Saugata Bhattacharya, Prof. Ram Singh, Dr. Poonam Gupta and Shri Indranil Bhattacharyya attended the meeting. 2\. After a detailed assessment of the evolving macroeconomic and financial developments and the outlook, the MPC voted unanimously to increase the policy repo rate under the liquidity adjustment facility (LAF) by 25 bps to 5.50 per cent. Consequently, the standing deposit facility (SDF) rate stands adjusted at 5.25 per cent and the marginal standing facility (MSF) rate and the Bank Rate at 5.75 per cent. The MPC also decided to change the stance to calibrated tightening. Growth and Inflation Outlook Global Outlook 3\.
...
Inflation for Q1:2027-28 is projected at 5.6 per cent with risks being evenly balanced. Core inflation is projected at 4.4 per cent for 2026-27. Chart 1 and 2 Rationale for Monetary Policy Decisions 10\.
...
14\. Considering all these factors, the MPC unanimously voted to increase the policy repo rate by 25 basis points to 5.50 per cent.
...
especially that of underlying inflation, | — | primary | 2026-11-09T10:16:56.112206+00:00 | |
9 | RBI repo rate decision | 4 | Press Releases | Official Website of Reserve Bank of India | rbi.org.in | * Monetary Policy Decisions The Monetary Policy Committee (MPC) held its 63rd meeting from October 5 to 7, 2026, under the chairmanship of Shri Sanjay Malhotra, Governor, Reserve Bank of India. The MPC members Dr. Nagesh Kumar, Shri Saugata Bhattacharya, Prof. Ram Singh, Dr. Poonam Gupta and Shri Indranil Bhattacharyya attended the meeting. 2. After a detailed assessment of the evolving macroeconomic and financial developments and the outlook, the MPC voted unanimously to increase the policy repo rate under the liquidity adjustment facility (LAF) by 25 bps to 5.50 per cent. Consequently, the standing deposit facility (SDF) rate stands adjusted at 5.25 per cent and the marginal standing facility (MSF) rate and the Bank Rate at 5.75 per cent. The MPC also decided to change the stance to calibrated tightening. Growth and Inflation Outlook Global Outlook 3.
...
The Fed commentary thereafter along with rate tightening by major systemically important central banks have reinforced expectations of higher global policy rates.
...
Nonetheless, the Indian economy has been strong. The economi
...
unanimously voted to increase the policy repo rate by 25 basis points to 5.50 per cent. The MPC also decided to change the stance to calibrated tightening. It only signals that given the current conditions, rate cuts are off the table in the near term and policy action ahead can only be a rate hike or a pause, depending on the evolving conditions and | — | primary | 2026-11-09T10:16:56.112206+00:00 | |
10 | RBI repo rate decision | 5 | RBI MPC meeting highlights: Repo rate hiked to 5.5%; rate cuts off the table in near term, Governor Sanjay Malhotra says - The Hindu | thehindu.com | [Business](https://www.thehindu.com/business/)
# RBI MPC meeting highlights: Repo rate hiked to 5.5%; rate cuts off the table in near term, Governor Sanjay Malhotra says
...
##### Key Updates
* Key points from the RBI's October bi-monthly monetary policy
* On the rationale for the MPC’s decision to raise repo rate by 25 basis points
* October 07, 2026 13:07
Key points from the RBI's October bi-monthly monetary policy
+ Repo rate hiked by 25 bps to 5.5%
+ First rate hike since February 2023
...
For NBFCs, | 2026-10-07 | primary | 2026-11-09T10:16:56.112206+00:00 |
Playground
Advanced parameters are collapsed below.
Fill in the fields below or .
curl -X POST "https://api.mindcase.co/v1/data/web/search/run?wait=true" \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"query": [],
"country": "",
"freshness": "",
"includeDomains": [],
"excludeDomains": []
}
}'Related
Backlinks pointing at a domain, with source URL and title, target URL, anchor text and authority scores. Pass the domains.
A website's brand style guide, with site name, title, description, language and the colors, fonts and logos it uses. Pass the URLs.
Crawl a website from one start URL and get every page it links to as clean Markdown, with title, description and link depth. 50 pages by default, up to 1,000. Only pages that came back are charged.
Pull structured JSON out of any web page: name the fields you want, or send a JSON Schema, and get one row per URL with the values. Pages are always fetched live. Failed extractions and schema mismatches are not charged.
Every URL on a website in one call: sitemaps plus link discovery, with each URL's last-modified date and where it was found. One row per site, up to 5,000 URLs, $0.002 per site. Pass the site URLs.
Scrape any web page or PDF live into clean Markdown with every link kept, plus title, description, author, published date, word count and the cleaned HTML. Pages that cannot be scraped come back with a typed error and are not charged. Scrape a list of URLs, or search by keyword and scrape the top results.